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ORCIDnpj Digital Medicine, Volume 6
Volume 6, 2023
- Lok Hin Lee, Elizabeth Bradburn
, Rachel Craik, Mohammad Yaqub, Shane A. Norris, Leila Cheikh Ismail, Eric O. Ohuma, Fernando C. Barros, Ann Lambert, Maria Carvalho, Yasmin A. Jaffer, Michael Gravett, Manorama Purwar, Qingqing Wu, Enrico Bertino, Shama Munim, Aung Myat Min, Zulfiqar Bhutta, José Villar, Stephen H. Kennedy, J. Alison Noble, Aris T. Papageorghiou:
Machine learning for accurate estimation of fetal gestational age based on ultrasound images. - Yeong Chan Lee, Jiho Cha, Injeong Shim, Woong-Yang Park, Se Woong Kang, Dong Hui Lim, Hong-Hee Won:
Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction. - Émilien Arnaud, Mahmoud Elbattah, Christine Ammirati, Gilles Dequen, Daniel Aiham Ghazali:
Predictive models in emergency medicine and their missing data strategies: a systematic review. - Marium M. Raza, Kaushik P. Venkatesh, Joseph C. Kvedar:
Promoting racial equity in digital health: applying a cross-disciplinary equity framework. - Jitao Wang, Yu Fang, Elena Frank, Maureen A. Walton, Margit Burmeister, Ambuj Tewari, Walter H. Dempsey, Timothy NeCamp, Srijan Sen, Zhenke Wu:
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial. - Changwon Wang, Chungkeun Lee, Hangsik Shin:
Digital therapeutics from bench to bedside. - Clara C. Zwack, Milad Haghani, Matthew Hollings, Ling Zhang, Sarah Gauci, Robyn Gallagher, Julie Redfern:
The evolution of digital health technologies in cardiovascular disease research. - Luigi Fiorillo, Giuliana Monachino, Julia van der Meer, Marco Pesce, Jan D. Warncke, Markus H. Schmidt, Claudio L. A. Bassetti, Athina Tzovara, Paolo Favaro, Francesca D. Faraci:
U-Sleep's resilience to AASM guidelines. - Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Olamide Sadare, Tom Melvin, Hugh Harvey, Erik Vollebregt, Stephen Gilbert:
Can Apple and Google continue as health app gatekeepers as well as distributors and developers? - Lars Masanneck, Pauline Gieseler, William J. Gordon, Sven G. Meuth, Ariel Dora Stern:
Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials. - Aneeta Sylolypavan, Derek H. Sleeman, Honghan Wu, Malcolm Sim:
The impact of inconsistent human annotations on AI driven clinical decision making. - Matthew R. Patterson, Adonay A. S. Nunes, Dawid Gerstel, Rakesh Pilkar, Tyler Guthrie, Ali Neishabouri, Christine Cong Guo:
40 years of actigraphy in sleep medicine and current state of the art algorithms. - Jenny Yang, Andrew A. S. Soltan, David W. Eyre, Yang Yang, David A. Clifton:
An adversarial training framework for mitigating algorithmic biases in clinical machine learning. - Alexandros Rekkas, David van Klaveren, Patrick B. Ryan, Ewout W. Steyerberg, David M. Kent, Peter R. Rijnbeek:
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases. - Morgan Guillaudeux, Olivia Rousseau, Julien Petot, Zineb Bennis, Charles-Axel Dein, Thomas Goronflot, Nicolas Vince, Sophie Limou, Matilde Karakachoff, Matthieu Wargny, Pierre-Antoine Gourraud:
Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis. - Natalie Feldman, Sarah Perret:
Digital mental health for postpartum women: perils, pitfalls, and promise. - Lulu Yang, Hongliang Feng, Sizhi Ai, Yue Liu, Binbin Lei, Jie Chen, Xiao Tan, Christian Benedict, Ningjian Wang, Yun Kwok Wing, Lu Qi, Jihui Zhang:
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation. - Bastien Lechat, Kelly A. Loffler, Amy C. Reynolds, Ganesh Naik, Andrew Vakulin, Garry Jennings, Pierre Escourrou, Doug McEvoy, Robert J. Adams, Peter G. Catcheside, Danny J. Eckert:
High night-to-night variability in sleep apnea severity is associated with uncontrolled hypertension. - Shany Biton, Mohsin Aldhafeeri, Erez Marcusohn, Kenta Tsutsui, Tom Szwagier, Adi Elias, Julien Oster, Jean-Marc Sellal, Mahmoud Suleiman, Joachim A. Behar:
Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes. - Tian Tan, Anthony A. Gatti, Bingfei Fan, Kevin G. Shea, Seth L. Sherman, Scott D. Uhlrich, Jennifer L. Hicks, Scott L. Delp, Peter B. Shull, Akshay S. Chaudhari:
A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation. - Suonaa Lee, Jae Won Oh, Kyung Mee Park, San Lee, Eun Lee:
Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis. - Daniel Ehrmann, Shalmali Joshi, Sebastian D. Goodfellow, Mjaye Mazwi, Danny Eytan:
Making machine learning matter to clinicians: model actionability in medical decision-making. - Marcus Grobe-Einsler, Jennifer Faber, A. Taheri, J. Kybelka, J. Raue, J. Volkening, F. Helmhold, Matthis Synofzik, Thomas Klockgether:
SARAspeech - Feasibility of automated assessment of ataxic speech disturbance. - Yan Zhu, Danfeng Zhang, Huili Wu, Peiyao Fu, Li Feng, Kun Zhuang, Zihan Geng, Kunkun Li, Xiaohong Zhang, Boqun Zhu, Wenzheng Qin, Shengli Lin, Zhen Zhang, Tianyin Chen, Yuan Huang, Xiaoyue Xu, Jingzheng Liu, Shuo Wang, Wei Zhang, Quanlin Li, Pinghong Zhou:
Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence. - Jing Xu, Jiarui Ou, Chen Li, Zheng Zhu, Jian Li, Hailun Zhang, Junchen Chen, Bin Yi, Wu Zhu, Weiru Zhang, Guanxiong Zhang, Qian Gao, Yehong Kuang, Jiangning Song, Xiang Chen, Hong Liu:
Multi-modality data-driven analysis of diagnosis and treatment of psoriatic arthritis. - James A. Shaw, Sharifah Sekalala:
Health data justice: building new norms for health data governance. - Kaan Sel, Deen Osman, Noah Huerta, Arabella Edgar, Roderic I. Pettigrew, Roozbeh Jafari:
Continuous cuffless blood pressure monitoring with a wearable ring bioimpedance device. - David C. Classen, Christopher Longhurst, Eric J. Thomas:
Bending the patient safety curve: how much can AI help? - Enea Ceolini, Arko Ghosh:
Common multi-day rhythms in smartphone behavior. - Daniel Jiménez Sánchez, Álvaro López-Janeiro, María Villalba-Esparza, Mikel Ariz, Ece Kadioglu, Ivan Masetto, Virginie Goubert, Maria D. Lozano, Ignacio Melero, David Hardisson, Carlos Ortiz-de-Solórzano, Carlos E. de Andrea:
Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images. - Kavya Pathak, Jayson S. Marwaha, Thomas C. Tsai:
The role of digital technology in surgical home hospital programs. - Xiaodan Wu, Ruichang Li, Zhen He, Tianzhi Yu, Changqing Cheng:
A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis. - Seya Colloud, Thomas Metcalfe, Scott Askin, Shibeshih Mitiku Belachew, Johannes Ammann, Ernst Bos, Timothy Kilchenmann, Paul Strijbos, Damien Eggenspieler, Laurent Servais, Chloé Garay, Athanasios Konstantakopoulos, Armin Ritzhaupt, Thorsten Vetter, Claudia Vincenzi, Francesca Cerreta:
Evolving regulatory perspectives on digital health technologies for medicinal product development. - Yuezhou Zhang, Abhishek Pratap, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Katie M. White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Hernández Rambla, Sara Simblett, Raluca Nica, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Peter Annas, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson:
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. - Karthik Srinivasan, Faiz Currim, Casey Lindberg, Javad Razjouyan, Brian Gilligan, Hyo-Ki Lee, Kelli Canada, Nicole Goebel, Matthias R. Mehl, Melissa M. Lunden, Judith Heerwagen, Bijan Najafi, Esther M. Sternberg, Kevin Kampschroer, Sudha Ram:
Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling. - Jian Li, Linyuan Jin, Zhiyuan Wang, Qinghai Peng, Yueai Wang, Jia Luo, Jiawei Zhou, Yingying Cao, Yanfen Zhang, Min Zhang, Yuewen Qiu, Qiang Hu, Liyun Chen, Xiaoyu Yu, Xiaohui Zhou, Qiong Li, Shu Zhou, Si Huang, Dan Luo, Xingxing Mao, Yi Yu, Xiaomeng Yang, Chiling Pan, Hongxin Li, Jingchao Wang, Jieke Liao:
Towards precision medicine based on a continuous deep learning optimization and ensemble approach. - Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz:
Opioid death projections with AI-based forecasts using social media language. - Dan W. Joyce, Andrey Kormilitzin, Katharine A. Smith, Andrea Cipriani:
Explainable artificial intelligence for mental health through transparency and interpretability for understandability. - Li Lian Foo, Gilbert Yong San Lim, Carla Lanca, Chee Wai Wong, Quan V. Hoang, Xiu Juan Zhang, Jason C. Yam, Leopold Schmetterer, Audrey Chia, Tien Yin Wong, Daniel S. W. Ting, Seang-Mei Saw, Marcus Ang:
Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children. - Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul:
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms. - Shangzhi Xiong, Hongsheng Lu, Nicholas Peoples, Ege K. Duman, Alberto Najarro, Zhao Ni, Enying Gong, Ruoyu Yin, Truls Østbye, Lia M. Palileo-Villanueva, Rinchen Doma, Sweta Kafle, Maoyi Tian, Lijing L. Yan:
Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries. - Retraction Note: Facial expressions can detect Parkinson's disease: preliminary evidence from videos collected online.
- Natasa Lazarevic, Carol Pizzuti, Gillian Rosic, Céline Boehm, Kathryn Williams, Corinne Caillaud:
A mixed-methods study exploring women's perceptions and recommendations for a pregnancy app with monitoring tools. - Susan M. Shortreed, Rod L. Walker, Eric Johnson, Robert Wellman, Maricela Cruz, Rebecca Ziebell, R. Yates Coley, Zimri S. Yaseen, Sai Dharmarajan, Robert B. Penfold, Brian K. Ahmedani, Rebecca C. Rossom, Arne Beck, Jennifer M. Boggs, Greg E. Simon:
Complex modeling with detailed temporal predictors does not improve health records-based suicide risk prediction. - Marcin Straczkiewicz, Emily J. Huang, Jukka-Pekka Onnela:
A "one-size-fits-most" walking recognition method for smartphones, smartwatches, and wearable accelerometers. - Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz:
Author Correction: Opioid death projections with AI-based forecasts using social media language. - Mirja Mittermaier, Kaushik P. Venkatesh, Joseph C. Kvedar:
Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence. - Melissa A. Boswell, Lukasz Kidzinski, Jennifer L. Hicks, Scott D. Uhlrich, Antoine Falisse, Scott L. Delp:
Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study. - Thomas R. Insel:
Digital mental health care: five lessons from Act 1 and a preview of Acts 2-5. - Cong Liu, Meihui Tai, Jialu Hu, Xinlei Zhu, Weidong Wang, Yutao Guo, Haidong Kan, Renjie Chen:
Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset. - Clara Mosquera Lopez, Leah M. Wilson, Joseph El Youssef, Wade Hilts, Joseph Leitschuh, Deborah Branigan, Virginia Gabo, Jae H. Eom, Jessica R. Castle, Peter G. Jacobs:
Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence. - Sam Perochon, J. Matías Di Martino, Kimberly L. H. Carpenter, Scott Compton, Naomi Davis, Steven Espinosa, Lauren Franz, Amber D. Rieder, Connor Sullivan, Guillermo Sapiro, Geraldine Dawson:
A tablet-based game for the assessment of visual motor skills in autistic children. - Ting-Yu Lin, Sherry Yueh-Hsia Chiu, Ling-Chun Liao, Sam Li-Sheng Chen, Han-Mo Chiu, Tony Hsiu-Hsi Chen:
Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach. - Michael Jose Joseph, Matthew Summerscales, Saieesha Yogesan, Anthony Bell, Michele Genevieve, Yogesan Kanagasingam:
The use of kiosks to improve triage efficiency in the emergency department. - Kaushik P. Venkatesh, Marium M. Raza, Joseph C. Kvedar:
Automating the overburdened clinical coding system: challenges and next steps. - Stephen A. Johnson, Marta Karas, Katherine M. Burke, Marcin Straczkiewicz, Zoe A. Scheier, Alison P. Clark, Satoshi Iwasaki, Amir Lahav, Amrita S. Iyer, Jukka-Pekka Onnela, James D. Berry:
Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures. - Roomasa Channa, Risa M. Wolf, Michael D. Abràmoff, Harold P. Lehmann:
Effectiveness of artificial intelligence screening in preventing vision loss from diabetes: a policy model. - Adam R. Brentnall, Emma C. Atakpa, Harry Hill, Ruggiero Santeramo, Celeste Damiani, Jack Cuzick, Giovanni Montana, Stephen W. Duffy:
An optimization framework to guide the choice of thresholds for risk-based cancer screening. - Graham Coulby, Alan Godfrey:
Understanding the scalability of personalised monitoring within indoor spaces. - Jiajie Tang, Yongen Liang, Yuxuan Jiang, Jinrong Liu, Rui Zhang, Danping Huang, Chengcheng Pang, Chen Huang, Dongni Luo, Xue Zhou, Ruizhuo Li, Kanghui Zhang, Bingbing Xie, Lianting Hu, Fanfan Zhu, Huimin Xia, Long Lu, Hongying Wang:
A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography. - Robyn Whittaker, Rosie Dobson, C. K. Jin, R. Style, Prageeth Jayathissa, K. Hiini, K. Ross, K. Kawamura, P. Muir, A. Mark, Delwyn Armstrong, E. Frost, J. Buxton, J. Lunny, P. Andrew, S. Bloomfield, S. Puddle, W. Miles:
An example of governance for AI in health services from Aotearoa New Zealand. - Junjie Huang, Sze Chai Chan, Samantha Ko, Ellen Tong, Clement S. K. Cheung, Wing Nam Wong, Ngai-Tseung Cheung, Martin C. S. Wong:
Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients. - Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwiecinski, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. - Christina Schröder, Robert Förster, Daniel R. Zwahlen, Paul Windisch:
The Apple Watch spO2 sensor and outliers in healthy users. - Nadine Bienefeld, Jens Michael Boss, Rahel Luethy, Dominique Brodbeck, Jan Azzati, Mirco Blaser, Jan Willms, Emanuela Keller:
Solving the explainable AI conundrum by bridging clinicians' needs and developers' goals. - Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley You Ren, Guillermo Sapiro, Andrew C. Miller:
Modeling personalized heart rate response to exercise and environmental factors with wearables data. - Andrew Wen, Huan He, Sunyang Fu, Sijia Liu, Kurt Miller, Liwei Wang, Kirk E. Roberts, Steven Bedrick, William R. Hersh, Hongfang Liu:
The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era. - Akshay Swaminathan, Iván López, Rafael Antonio Garcia Mar, Tyler Heist, Tom McClintock, Kaitlin Caoili, Madeline Grace, Matthew Rubashkin, Michael N. Boggs, Jonathan H. Chen, Olivier Gevaert, David Mou, Matthew K. Nock:
Natural language processing system for rapid detection and intervention of mental health crisis chat messages. - Anna M. Smak Gregoor, Tobias E. Sangers, Lytske J. Bakker, Loes Hollestein, Carin Uyl-de Groot, Tamar Nijsten, Marlies Wakkee:
An artificial intelligence based app for skin cancer detection evaluated in a population based setting. - Mariana Nikolova-Simons, Rikkert H. Keldermann, Yvon Peters, Wilma Compagner, Leon Montenij, Ymke de Jong, R. Arthur Bouwman:
Predictive analytics for cardio-thoracic surgery duration as a stepstone towards data-driven capacity management. - Vishal A. Salunkhe, Neha Sinha, Emma Ahlqvist, Rashmi Prasad B, Svetlana Johansson, Birgitta Abrahamsson, Anders H. Rosengren:
Digital lifestyle treatment improves long-term metabolic control in type 2 diabetes with different effects in pathophysiological and genetic subgroups. - Kyra Bobinet, Stephanie M. Greer:
The Iterative Mindset Method: a neuroscientific theoretical approach for sustainable behavior change and weight-loss in digital medicine. - Michael Nissen, Nuria Barrios Campo, Madeleine Flaucher, Katharina M. Jaeger, Adriana Titzmann, Dominik Blunck, Peter A. Fasching, Victoria Engelhardt, Bjoern M. Eskofier, Heike Leutheuser:
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. - Jessica R. Golbus, Kashvi Gupta, Rachel Stevens, V. Swetha Jeganathan, Evan Luff, Jieru Shi, Walter Dempsey, Thomas Boyden, Bhramar Mukherjee, Sarah Kohnstamm, Vlad Taralunga, Vik Kheterpal, Susan A. Murphy, Predrag V. Klasnja, Sachin Kheterpal, Brahmajee K. Nallamothu:
A randomized trial of a mobile health intervention to augment cardiac rehabilitation. - Neal G. Ravindra, Camilo Espinosa, Eloïse Berson, Thanaphong Phongpreecha, Peinan Zhao, Martin Becker, Alan L. Chang, Sayane Shome, Ivana Maric, Davide De Francesco, Samson Mataraso, Geetha Saarunya, Melan Thuraiappah, Lei Xue, Brice Gaudilliere, Martin S. Angst, Gary M. Shaw, Erik D. Herzog, David K. Stevenson, Sarah K. England, Nima Aghaeepour:
Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. - Kaushik P. Venkatesh, Marium M. Raza, Joseph C. Kvedar:
AI-based skin cancer detection: the balance between access and overutilization. - Blazej Cieslik, Justyna Mazurek, Adam Wrzeciono, Lorenza Maistrello, Joanna Szczepanska-Gieracha, Pier Franco Conte, Pawel Kiper:
Examining technology-assisted rehabilitation for older adults' functional mobility: a network meta-analysis on efficacy and acceptability. - Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Åkerlund, Lindsay Wilson, Robert D. Stevens, David K. Menon, Ewout W. Steyerberg, David W. Nelson, Ari Ercole:
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. - Kenneth A. McLean, Alessandro Sgrò, Leo R. Brown, Louis F. Buijs, Luke Daines, Mark A. Potter, Matt-Mouley Bouamrane, Ewen M. Harrison:
Evaluation of remote digital postoperative wound monitoring in routine surgical practice. - Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton:
A medical multimodal large language model for future pandemics. - Tsegahun Manyazewal, Mohammed K. Ali, Tedla Kebede, Matthew J. Magee, Tewodros Getinet, Shivani A. Patel, Damen Hailemariam, Cam Escoffery, Yimtubezinash Woldeamanuel, Nardos Makonnen, Samrawit Solomon, Wondwossen Amogne, Vincent C. Marconi, Abebaw Fekadu:
Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases. - Yi-han Sheu, Colin G. Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W. Smoller:
AI-assisted prediction of differential response to antidepressant classes using electronic health records. - Tiffany Junchen Tao, Teck Kuan Lim, Ernest Tsun Fung Yeung, Huinan Liu, Phoenix Bibha Shris, Lawrence Ka Yin Ma, Tatia Mei Chun Lee, Wai Kai Hou:
Internet-based and mobile-based cognitive behavioral therapy for chronic diseases: a systematic review and meta-analysis. - Catherine A. Gao, Frederick M. Howard, Nikolay S. Markov, Emma C. Dyer, Siddhi Ramesh, Yuan Luo, Alexander T. Pearson:
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. - Lei Zhao, Cunman Liang, Yan Huang, Guodong Zhou, Yiqun Xiao, Nan Ji, Yuan-Ting Zhang, Ni Zhao:
Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring. - V. Muralidharan, A. Burgart, Roxana Daneshjou, S. Rose:
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI. - J. Weston Hughes, James E. Tooley, Jessica Torres Soto, Anna Ostropolets, Tim Poterucha, Matthew Christensen, Neal Yuan, Ben Ehlert, Dhamanpreet Kaur, Guson Kang, Albert J. Rogers, Sanjiv M. Narayan, Pierre Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez:
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. - Ga Yang Shim, Eun Hye Kim, Yun Jeong Baek, Won Kee Chang, Bo Ram Kim, Joo Han Oh, Jong In Lee, Ji Hye Hwang, Jae-Young Lim:
A randomized controlled trial of postoperative rehabilitation using digital healthcare system after rotator cuff repair. - Sameer Sundrani, Julie Chen, Boyang Tom Jin, Zahra Shakeri Hossein Abad, Pranav Rajpurkar, David A. Kim:
Predicting patient decompensation from continuous physiologic monitoring in the emergency department. - David Huang, Steven B. Cogill, Renee Y. Hsia, Samuel Yang, David Kim:
Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma. - Shih-Cheng Huang, Anuj Pareek, Malte Jensen, Matthew P. Lungren, Serena Yeung, Akshay S. Chaudhari:
Self-supervised learning for medical image classification: a systematic review and implementation guidelines. - Kristi Yoonsup Lee, Saudamini Vishwanath Dabak, Vivian Hanxiao Kong, Minah Park, Shirley L. L. Kwok, Madison Silzle, Chayapat Rachatan, Alex R. Cook, Aly Passanante, Ed Pertwee, Zhengdong Wu, Javier A. Elkin, Heidi J. Larson, Eric H. Y. Lau, Kathy Leung, Joseph T. Wu, Leesa Lin:
Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore. - Elif Keles, Ulas Bagci:
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review. - Farzana Z. Ali, Ramin V. Parsey, Shan Lin, Joseph Schwartz, Christine DeLorenzo:
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response. - Kaan Sel, Amirmohammad Mohammadi, Roderic I. Pettigrew, Roozbeh Jafari:
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation. - I. Glenn Cohen, Boris Babic, Sara Gerke, Qiong Xia, Theodoros Evgeniou, Klaus Wertenbroch:
How AI can learn from the law: putting humans in the loop only on appeal. - Ami B. Bhatt, Jennifer Bae:
Collaborative Intelligence to catalyze the digital transformation of healthcare. - Ahinoam Lev-Sagie, Doris Strauss, Avraham Ben Chetrit:
Diagnostic performance of an automated microscopy and pH test for diagnosis of vaginitis. - Katharina Knoll, Stefanie Rosner, Stefan Gross, Dino Dittrich, Carsten Lennerz, Teresa Trenkwalder, Stefanie Schmitz, Stefan Sauer, Christian Hentschke, Marcus Dörr, Christian Kloss, Heribert Schunkert, Wibke Reinhard:
Combined telemonitoring and telecoaching for heart failure improves outcome. - Mirja Mittermaier, Marium M. Raza, Joseph C. Kvedar:
Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches. - Ran Liu, Rodrigo Gutiérrez, Rory V. Mather, Tom A. D. Stone, Laura A. Santa Cruz Mercado, Kishore Bharadwaj, Jasmine Johnson, Proloy Das, Gustavo Balanza, Ekenedilichukwu Uwanaka, Justin Sydloski, Andrew Chen, Mackenzie Hagood, Edward A. Bittner, Patrick L. Purdon:
Development and prospective validation of postoperative pain prediction from preoperative EHR data using attention-based set embeddings. - Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu:
A study of generative large language model for medical research and healthcare. - Ian Yi Han Ang, Yi Wang, Shilpa Tyagi, Gerald Choon Huat Koh, Alex R. Cook:
Preferences and willingness-to-pay for a blood pressure telemonitoring program using a discrete choice experiment. - Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou:
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. - Nazgol Tavabi, Marium Raza, Mallika Singh, Shahriar Golchin, Harsev Singh, Grant D. Hogue, Ata M. Kiapour:
Disparities in cannabis use and documentation in electronic health records among children and young adults. - Matthew P. Ward, J. Scott Malloy, Chris Kannmacher, Steven R. Steinhubl:
Educating the healthcare workforce of the future: lessons learned from the development and implementation of a 'Wearables in Healthcare' course. - Young Su Joo, Tyler Hyungtaek Rim, Hee Byung Koh, Joseph Yi, Hyeonmin Kim, Geunyoung Lee, Young Ah Kim, Shin-Wook Kang, Sung Soo Kim, Jung Tak Park:
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors. - Jiancheng Ye, Lu He, Molly Beestrum:
Implications for implementation and adoption of telehealth in developing countries: a systematic review of China's practices and experiences. - Hyeonhoon Lee, Hyun-Kyu Yoon, Jaewon Kim, Ji Soo Park, Chang-Hoon Koo, Dongwook Won, Hyung-Chul Lee:
Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia. - Meifang Lin, Qian Zhou, Ting Lei, Ning Shang, Qiao zheng, Xiaoqin He, Nan Wang, Hongning Xie:
Deep learning system improved detection efficacy of fetal intracranial malformations in a randomized controlled trial. - Hassan M. Ghomrawi, Megan K. O'Brien, Michela Carter, Rebecca Macaluso, Rushmin Khazanchi, Michael Fanton, Christopher Deboer, Samuel C. Linton, Suhail Zeineddin, J. Benjamin Pitt, Mégane Bouchard, Angie Figueroa, Soyang Kwon, Jane L. Holl, Arun Jayaraman, Fizan Abdullah:
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy. - Ruben Willems, Lieven Annemans, George Siopis, George Moschonis, Rajesh Vedanthan, Jenny Jung, Dominika Kwasnicka, Brian Oldenburg, Claudia D'Antonio, Sandro Girolami, Eirini Agapidaki, Yannis Manios, Nick Verhaeghe, Natalya Usheva, Violeta Iotova, Andreas Triantafyllidis, Konstantinos Votis, Florian Toti, Konstantinos Makrilakis, Chiara Seghieri, Luis Moreno, Sabine Dupont, Leo Lewis, Djordje Djokic, Helen Skouteris:
Cost effectiveness review of text messaging, smartphone application, and website interventions targeting T2DM or hypertension. - Julien Heitmann, Alban Glangetas, Jonathan Doenz, Juliane Dervaux, Deeksha M. Shama, Daniel Hinjos Garcia, Mohamed Rida Benissa, Aymeric Cantais, Alexandre Perez, Daniel Müller, Tatjana Chavdarova, Isabelle Ruchonnet-Metrailler, Johan N. Siebert, Laurence Lacroix, Martin Jaggi, Alain Gervaix, Mary-Anne Hartley, Florence Hugon, Derrick Fassbind, Makura Barro, Georges Bediang, N. E. L. Hafidi, M. Bouskraoui, Idrissa Ba:
DeepBreath - automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries. - Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Jagat Narula, Benjamin S. Glicksberg, Girish N. Nadkarni:
A foundational vision transformer improves diagnostic performance for electrocardiograms. - Ruben Hemelings, Bart Elen, Alexander K. Schuster, Matthew B. Blaschko, João Barbosa Breda, Pekko Hujanen, Annika Junglas, Stefan Nickels, Andrew White, Norbert Pfeiffer, Paul Mitchell, Patrick De Boever, Anja Tuulonen, Ingeborg Stalmans:
A generalizable deep learning regression model for automated glaucoma screening from fundus images. - Jin Li, Benjamin J. Cairns, Jingsong Li, Tingting Zhu:
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications. - Yuanyuan Pei, Guijuan Wang, Haiwei Cao, Shuanglan Jiang, Dan Wang, Haiyu Wang, Hongying Wang, Hongkui Yu:
A deep-learning pipeline to diagnose pediatric intussusception and assess severity during ultrasound scanning: a multicenter retrospective-prospective study. - Brianna I. Flynn, Emily Javan, Eugenia Lin, Zoe Trutner, Karl Koenig, Kenoma O. Anighoro, Eucharist Kun, Alaukik Gupta, Tarjinder Singh, Prakash Jayakumar, Vagheesh Narasimhan:
Deep learning based phenotyping of medical images improves power for gene discovery of complex disease. - Mirja Mittermaier, Kaushik P. Venkatesh, Joseph C. Kvedar:
Digital health technology in clinical trials. - Jorge Alberto Rodriguez, Courtney R. Lyles:
Strengthening digital health equity by balancing techno-optimism and techno-skepticism through implementation science. - Mengyi Liu, Xiaoqin Gan, Ziliang Ye, Yuanyuan Zhang, Panpan He, Chun Zhou, Sisi Yang, Yanjun Zhang, Xianhui Qin:
Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease. - Ian Shapiro, Jeff Stein, Calum A. MacRae, Michael O'Reilly:
Pulse oximetry values from 33,080 participants in the Apple Heart & Movement Study. - Myura Nagendran, Paul Festor, Matthieu Komorowski, Anthony C. Gordon, Aldo A. Faisal:
Quantifying the impact of AI recommendations with explanations on prescription decision making. - Frithjof Sy, Astrid Berner-Rodoreda, Takelech Asnake, Misrak Getnet, Wondwossen Amogne, Hermann Bussmann, Helen Abera, Till Bärnighausen, Andreas Deckert:
Exploring computer-aided health decision-making on cervical cancer interventions through deliberative interviews in Ethiopia. - Hyeonhoon Lee, Hyun-Lim Yang, Ho Geol Ryu, Chul-Woo Jung, Youn Joung Cho, Soo Bin Yoon, Hyun-Kyu Yoon, Hyung-Chul Lee:
Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU. - Joaquin A. Anguera, M. A. Rowe, Joshua Volponi, M. Elkurdi, B. Jurigova, Alexander J. Simon, R. Anguera-Singla, C. L. Gallen, Adam Gazzaley, E. J. Marco:
Author Correction: Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study. - Mauro Giuffrè, Dennis L. Shung:
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy. - William G. La Cava, Paul C. Lee, Imran Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen, Jason H. Moore, Daniel S. Herman:
A flexible symbolic regression method for constructing interpretable clinical prediction models. - Simon B. Goldberg, Shufang Sun, Per Carlbring, John Torous:
Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology. - Georgianna Lin, Rumsha Siddiqui, Zixiong Lin, Joanna M. Blodgett, Shwetak N. Patel, Khai N. Truong, Alex Mariakakis:
Blood glucose variance measured by continuous glucose monitors across the menstrual cycle. - Shauna M. Overgaard, Megan G. Graham, Tracey Brereton, Michael J. Pencina, John D. Halamka, David E. Vidal, Nicoleta J. Economou-Zavlanos:
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions. - Akshay Khunte, Veer Sangha, Evangelos K. Oikonomou, Lovedeep Singh Dhingra, Arya Aminorroaya, Bobak J. Mortazavi, Andreas Coppi, Cynthia A. Brandt, Harlan M. Krumholz, Rohan Khera:
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. - Conor Wall, Victoria Hetherington, Alan Godfrey:
Beyond the clinic: the rise of wearables and smartphones in decentralising healthcare. - J. D. Sobel:
Automated microscopy and pH test for diagnosis of vaginitis - the end of empiricism? - Jing Zhou, Bin Hu, Wei Feng, Zhang Zhang, Xiaotong Fu, Handie Shao, Hansheng Wang, Longyu Jin, Siyuan Ai, Ying Ji:
An ensemble deep learning model for risk stratification of invasive lung adenocarcinoma using thin-slice CT. - Emily Alsentzer, Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu-Jones, Kathryn J. Gray, David W. Bates, Vesela P. Kovacheva:
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models. - Ju Ji, Jordan Venderley, Hui Zhang, Mengjue Lei, Guangchen Ruan, Neel Patel, Yu-Min Chung, Regan Giesting, Leah Miller:
Assessing nocturnal scratch with actigraphy in atopic dermatitis patients. - Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
A translational perspective towards clinical AI fairness. - Yi-Ju Tseng, Karen L. Olson, Danielle Bloch, Kenneth D. Mandl:
Engaging a national-scale cohort of smart thermometer users in participatory surveillance. - Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing health systems data at scale: making translational discovery a reality. - Giannis Nikolentzos, Michalis Vazirgiannis, Christos Xypolopoulos, Markus Lingman, Erik G. Brandt:
Synthetic electronic health records generated with variational graph autoencoders. - Yunus Emre Çelik, Alan Godfrey:
Bringing it all together: Wearable data fusion. - Raul Fernandez Rojas, Nicholas Brown, Gordon Waddington, Roland Goecke:
A systematic review of neurophysiological sensing for the assessment of acute pain. - Huichu Li, Elizabeth A. Gibson, Anne Marie Z. Jukic, Donna D. Baird, Allen J. Wilcox, Christine L. Curry, Tyler Fischer-Colbrie, Jukka-Pekka Onnela, Michelle A. Williams, Russ Hauser, Brent A. Coull, Shruthi Mahalingaiah:
Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study. - Lukas Ehrig, Ann-Christin Wagner, Heike Wolter, Christoph U. Correll, Olga Geisel, Stefan Konigorski:
FASDetect as a machine learning-based screening app for FASD in youth with ADHD. - Bertalan Meskó, Eric J. Topol:
The imperative for regulatory oversight of large language models (or generative AI) in healthcare. - Israel Júnior Borges do Nascimento, Hebatullah Abdulazeem, Lenny Thinagaran Vasanthan, Edson Zangiacomi Martinez, Miriane Lucindo Zucoloto, Lasse Østengaard, Natasha Azzopardi-Muscat, Tomas Zapata, David Novillo-Ortiz:
Barriers and facilitators to utilizing digital health technologies by healthcare professionals. - Mirja Mittermaier, Marium M. Raza, Joseph C. Kvedar:
Bias in AI-based models for medical applications: challenges and mitigation strategies. - Po-Jen Cheng, You Hung Cheng, Steven S. W. Shaw, Hung-Chin Jang:
Reducing primary cesarean delivery rate through implementation of a smart intrapartum surveillance system. - Charles Festo, Valerie Vannevel, Hasmot Ali, Tigest Tamrat, Getrud J. Mollel, Tsakane Hlongwane, Kaniz A. Fahmida, Kelsey Alland, María Barreix, Hedieh Mehrtash, Ronaldo Silva, Soe Soe Thwin, Garrett Mehl, Alain B. Labrique, Honorati Masanja, Ozge Tuncalp:
Accuracy of a smartphone application for blood pressure estimation in Bangladesh, South Africa, and Tanzania. - Ashkan Dehghani Zahedani, Arvind Veluvali, Tracey McLaughlin, Nima Aghaeepour, Amir Hosseinian, Saransh Agarwal, Jingyi Ruan, Shital Tripathi, Mark Woodward, Noosheen Hashemi, Michael Snyder:
Digital health application integrating wearable data and behavioral patterns improves metabolic health. - Evangelos K. Oikonomou, Phyllis M. Thangaraj, Deepak L. Bhatt, Joseph S. Ross, Lawrence H. Young, Harlan M. Krumholz, Marc A. Suchard, Rohan Khera:
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials. - Tae Jin Yun, Jin Wook Choi, Miran Han, Woo Sang Jung, Seung Hong Choi, Roh-Eul Yoo, In Pyeong Hwang:
Deep learning based automatic detection algorithm for acute intracranial haemorrhage: a pivotal randomized clinical trial. - Joaquin A. Anguera, M. A. Rowe, Joshua Volponi, M. Elkurdi, B. Jurigova, Alexander J. Simon, R. Anguera-Singla, C. L. Gallen, Adam Gazzaley, E. J. Marco:
Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study. - Vincenzo Muto, Christian Berthomier:
Looking for a balance between visual and automatic sleep scoring. - Michael Barnett, Dongang Wang, Heidi Beadnall, Antje Bischof, David Brunacci, Helmut Butzkueven, J. William L. Brown, Mariano Cabezas, Tilak Das, Tej Dugal, Daniel Guilfoyle, Alexander Klistorner, Stephen Krieger, Kain Kyle, Linda Ly, Lynette Masters, Andy Shieh, Zihao Tang, Anneke van der Walt, Kayla Ward, Heinz Wiendl, Geng Zhan, Robert Zivadinov, Yael Barnett, Chenyu Wang:
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. - Longhui Li, Duoru Lin, Zhenzhe Lin, Mingyuan Li, Zhangkai Lian, Lanqin Zhao, Xiaohang Wu, Lixue Liu, Jiali Liu, Xiaoyue Wei, Mingjie Luo, Danqi Zeng, Anqi Yan, Wai Cheng Iao, Yuanjun Shang, Fabao Xu, Wei Xiang, Muchen He, Zhe Fu, Xueyu Wang, Yaru Deng, Xinyan Fan, Zhijun Ye, Meirong Wei, Jianping Zhang, Baohai Liu, Jianqiao Li, Xiaoyan Ding, Haotian Lin:
DeepQuality improves infant retinopathy screening. - Robert Avram, Jeffrey E. Olgin, Zeeshan Ahmed, Louis Verreault-Julien, Alvin Wan, Joshua Barrios, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Jean-Claude Tardif, Derek Y. So, Krishan Soni, Geoffrey H. Tison:
CathAI: fully automated coronary angiography interpretation and stenosis estimation. - Sophie Isabelle Lambert, Murielle Madi, Sasa Sopka, Andrea Lenes, Hendrik Stange, Claus Peter Buszello, Astrid Stephan:
Author Correction: An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. - Shinya Tasaki, Namhee Kim, Tim Truty, Ada Zhang, Aron S. Buchman, Melissa Lamar, David A. Bennett:
Explainable deep learning approach for extracting cognitive features from hand-drawn images of intersecting pentagons. - Siddharth Choudhary, Ganesh Subramanian Iyer, Brandon M. Smith, Jinjin Li, Mark Sippel, Antonio Criminisi, Steven B. Heymsfield:
Development and validation of an accurate smartphone application for measuring waist-to-hip circumference ratio. - Malte Jacobsen, Rahil Gholamipoor, Till Anselm Dembek, Pauline Rottmann, Marlo Verket, Julia Brandts, Paul Jäger, Ben-Niklas Baermann, Mustafa Kondakci, Lutz Heinemann, Anna L. Gerke, Nikolaus Marx, Dirk Müller-Wieland, Kathrin Möllenhoff, Melchior Seyfarth, Markus Kollmann, Guido Kobbe:
Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies. - Hyun Joo Shin, Kyunghwa Han, Leeha Ryu, Eun-Kyung Kim:
The impact of artificial intelligence on the reading times of radiologists for chest radiographs. - Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad:
Medication abortion via digital health in the United States: a systematic scoping review. - Joe Zhang, Hutan Ashrafian, Brendan Delaney, Ara Darzi:
Impact of primary to secondary care data sharing on care quality in NHS England hospitals. - Denis G. Patterson, Derron Wilson, Michael A. Fishman, Gregory Moore, Ioannis Skaribas, Robert Heros, Soroush Dehghan, Erika Ross, Anahita Kyani:
Objective wearable measures correlate with self-reported chronic pain levels in people with spinal cord stimulation systems. - Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P. Turakhia, Steven R. Steinhubl, Giorgio Quer:
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias. - Marco Felsch, Ole Meyer, Anne Schlickenrieder, Paula Engels, Jule Schönewolf, Felicitas Zöllner, Roswitha Heinrich-Weltzien, Marc Hesenius, Reinhard Hickel, Volker Gruhn, Jan Kühnisch:
Detection and localization of caries and hypomineralization on dental photographs with a vision transformer model. - J. M. Smit, Jesse H. Krijthe, W. M. R. Kant, J. A. Labrecque, M. Komorowski, D. A. M. P. J. Gommers, Jasper van Bommel, Marcel J. T. Reinders, Michel E. van Genderen:
Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice. - Amar J. Shah, Malik A. Althobiani, Anita Saigal, Chibueze E. Ogbonnaya, John R. Hurst, Swapna Mandal:
Wearable technology interventions in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis. - Jinsung Yoon, Michel J. Mizrahi, Nahid Farhady Ghalaty, Thomas Jarvinen, Ashwin S. Ravi, Peter Brune, Fanyu Kong, Dave Anderson, George Lee, Arie Meir, Farhana Bandukwala, Elli Kanal, Sercan Ö. Arik, Tomas Pfister:
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records. - Zihao Bo, Yuchen Guo, Jinhao Lyu, Hengrui Liang, Jianxing He, Shijie Deng, Feng Xu, Xin Lou, Qionghai Dai:
Relay learning: a physically secure framework for clinical multi-site deep learning. - Cameron Celeste, Dion Ming, Justin Broce, Diandra P. Ojo, Emma Drobina, Adetola F. Louis-Jacques, Juan E. Gilbert, Ruogu Fang, Ivana K. Parker:
Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning. - Ben Singh, Timothy Olds, Jacinta Brinsley, Dot Dumuid, Rosa Virgara, Lisa Matricciani, Amanda Watson, Kimberley Szeto, Emily Eglitis, Aaron Miatke, Catherine E. M. Simpson, Corneel Vandelanotte, Carol Maher:
Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviours. - Jayson S. Marwaha, Marium M. Raza, Joseph C. Kvedar:
The digital transformation of surgery. - Hui Yang, Yamei Luo, Cai-Yi Ma, Tian-Yu Zhang, Tao Zhou, Xiaolei Ren, Xiaolin He, Kejun Deng, Dan Yan, Hua Tang, Hao Lin:
A gender specific risk assessment of coronary heart disease based on physical examination data. - Pouya Motazedian, Jeffrey A. Marbach, Graeme Prosperi-Porta, Simon Parlow, Pietro Di Santo, Omar Abdel-Razek, Richard Jung, William B. Bradford, Miranda Tsang, Michael Hyon, Stefano Pacifici, Sharanya Mohanty, F. Daniel Ramirez, Gordon S. Huggins, Trevor Simard, Stephanie Hon, Benjamin Hibbert:
Diagnostic accuracy of point-of-care ultrasound with artificial intelligence-assisted assessment of left ventricular ejection fraction. - Alaa A. Abd-Alrazaq, Rawan AlSaad, Farag Shuweihdi, Arfan Ahmed, Sarah Aziz, Javaid Sheikh:
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression. - Sophie Isabelle Lambert, Murielle Madi, Sasa Sopka, Andrea Lenes, Hendrik Stange, Claus Peter Buszello, Astrid Stephan:
An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. - Anne A. H. de Hond, Vaibhavi B. Shah, Ilse M. J. Kant, Ben Van Calster, Ewout W. Steyerberg, Tina Hernandez-Boussard:
Perspectives on validation of clinical predictive algorithms. - Marie Uncovska, Bettina Freitag, Sven Meister, Leonard Fehring:
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany. - Cassandra L. Thiel, Natasha Mehta, Cory Sean Sejo, Lubna Qureshi, Meagan Moyer, Vincent Valentino, Jason Saleh:
Telemedicine and the environment: life cycle environmental emissions from in-person and virtual clinic visits. - Anabela C. Areias, Maria Molinos, Robert G. Moulder, Dora Janela, Justin K. Scheer, Virgílio Bento, Vijay Yanamadala, Steven P. Cohen, Fernando Dias Correia, Fabíola Costa:
The potential of a multimodal digital care program in addressing healthcare inequities in musculoskeletal pain management. - Michael A. Marchetti, Emily A. Cowen, Nicholas R. Kurtansky, Jochen Weber, Megan Dauscher, Jennifer Defazio, Liang Deng, Stephen W. Dusza, Helen Haliasos, Allan C. Halpern, Sharif Hosein, Zaeem H. Nazir, Ashfaq A. Marghoob, Elizabeth A. Quigley, Trina Salvador, Veronica Rotemberg:
Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study). - Matthias Löhle, Jonathan Timpka, Alexander Bremer, Hamid Khodakarami, Florin Gandor, Malcolm K. Horne, Georg Ebersbach, Per Odin, Alexander Storch:
Application of single wrist-wearable accelerometry for objective motor diary assessment in fluctuating Parkinson's disease. - Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo-Berrios, Sylvia Trujillo, Danton Char, Ziad Obermeyer, Malvina B. Eydelman, William H. Maisel:
Considerations for addressing bias in artificial intelligence for health equity. - V. Vien Lee, Smrithi Vijayakumar, Wei Ying Ng, Ni Yin Lau, Qiao Ying Leong, Delicia Shu Qin Ooi, Lin Lin Su, Yung Seng Lee, Shiao-Yng Chan, Agata Blasiak, Dean Ho:
Personalization and localization as key expectations of digital health intervention in women pre- to post-pregnancy. - Nathan A. Coss, J. Max Gaitán, Catherine P. Adans-Dester, Jessica Carruthers, Manuel Fanarjian, Caprice Sassano, Solmaz P. Manuel, Eric Perakslis:
Does clinical research account for diversity in deploying digital health technologies? - Inas S. Khayal, A. James O'Malley, Amber E. Barnato:
Clinically informed machine learning elucidates the shape of hospice racial disparities within hospitals. - Anirudha S. Chandrabhatla, I. Jonathan Pomeraniec, Taylor M. Horgan, Elizabeth K. Wat, Alexander Ksendzovsky:
Landscape and future directions of machine learning applications in closed-loop brain stimulation. - Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng:
Evaluating large language models on medical evidence summarization. - Oana A. David, Liviu-Andrei Fodor:
Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game. - Xirui Hou, Pengfei Guo, Puyang Wang, Peiying Liu, Doris D. M. Lin, Hongli Fan, Yang Li, Zhiliang Wei, Zixuan Lin, Dengrong Jiang, Jin Jin, Catherine Kelly, Jay J. Pillai, Judy Huang, Marco C. Pinho, Binu P. Thomas, Babu G. Welch, Denise C. Park, Vishal M. Patel, Argye E. Hillis, Hanzhang Lu:
Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI. - Abigail L. Horn, Brooke Bell, Bernardo García Bulle Bueno, Mohsen Bahrami, Burçin Bozkaya, Yan Cui, John P. Wilson, Alex Pentland, Esteban Moro, Kayla de la Haye:
Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations. - Shuya Cui, Qingmin Lin, Yuanyuan Gui, Yunting Zhang, Hui Lu, Hongyu Zhao, Xiaolei Wang, Xinyue Li, Fan Jiang:
CARE as a wearable derived feature linking circadian amplitude to human cognitive functions. - Nutthaporn Chandeying, Therdpong Thongseiratch:
Systematic review and meta-analysis comparing educational and reminder digital interventions for promoting HPV vaccination uptake. - Teyl Engstrom, Elizabeth McCourt, Martin Canning, Katharine Dekker, Panteha Voussoughi, Oliver Bennett, Angela North, Jason D. Pole, Peter Donovan, Clair Sullivan:
The impact of transition to a digital hospital on medication errors (TIME study). - Molly Bowden, Emily Beswick, Johnny Tam, David Perry, Alice Smith, Judy Newton, Siddharthan Chandran, Oliver Watts, Suvankar Pal:
A systematic review and narrative analysis of digital speech biomarkers in Motor Neuron Disease. - Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica Rotemberg, Roxana Daneshjou:
Large language models propagate race-based medicine. - Sebastian Klein, Nora Wuerdemann, Imke Demers, Christopher Kopp, Jennifer Quantius, Arthur Charpentier, Yuri Tolkach, Klaus Brinker, Shachi Jenny Sharma, Julie George, Jochen Hess, Fabian Stögbauer, Martin Lacko, Marijn Struijlaart, Mari F. C. M. van den Hout, Steffen Wagner, Claus Wittekindt, Christine Langer, Christoph Arens, Reinhard Büttner, Alexander Quaas, Hans Christian Reinhardt, Ernst-Jan Speel, Jens Peter Klussmann:
Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients. - George Zhou, Yunchan Chen, Candace Chien, Leslie Revatta, Jannatul Ferdous, Michelle Chen, Shourov Deb, Sol De Leon Cruz, Alan Wang, Benjamin Lee, Mert R. Sabuncu, William Browne, Herrick Wun, Bobak Mosadegh:
Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis. - Cameron Sabet, Alessandro Hammond, Nim Ravid, Michelle Sun Tong, Fatima Cody Stanford:
Harnessing big data for health equity through a comprehensive public database and data collection framework. - Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason Alan Fries, Nigam H. Shah:
The shaky foundations of large language models and foundation models for electronic health records. - Zehua Dong, Junxiao Wang, Yanxia Li, Yunchao Deng, Wei Zhou, Xiaoquan Zeng, Dexin Gong, Jun Liu, Jie Pan, Renduo Shang, Youming Xu, Ming Xu, Lihui Zhang, Mengjiao Zhang, Xiao Tao, Yijie Zhu, Hongliu Du, Zihua Lu, Liwen Yao, Lianlian Wu, Honggang Yu:
Publisher Correction: Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy. - Franziska Lobig, Dhinagar Subramanian, Michael Blankenburg, Ankur Sharma, Archana Variyar, Oisin Butler:
To pay or not to pay for artificial intelligence applications in radiology. - Zehua Dong, Junxiao Wang, Yanxia Li, Yunchao Deng, Wei Zhou, Xiaoquan Zeng, Dexin Gong, Jun Liu, Jie Pan, Renduo Shang, Youming Xu, Ming Xu, Lihui Zhang, Mengjiao Zhang, Xiao Tao, Yijie Zhu, Hongliu Du, Zihua Lu, Liwen Yao, Lianlian Wu, Honggang Yu:
Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy. - Matthew Leming, Esther E. Bron, Rose Bruffaerts, Yangming Ou, Juan Eugenio Iglesias, Randy L. Gollub, Hyungsoon Im:
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting. - Mert Karabacak, Pemla Jagtiani, Alejandro Carrasquilla, Isabelle M. Germano, Konstantinos Margetis:
Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application. - Michelle Nicholas, Jessica Wittmann, Monica Norena, Marlena Ornowska, Steven Reynolds:
A randomized, clinical trial investigating the use of a digital intervention to reduce delirium-associated agitation. - Michel Godel, François Robain, Fiona Journal, Nada Kojovic, Kenza Latrèche, Ghislaine Dehaene-Lambertz, Marie Schaer:
Prosodic signatures of ASD severity and developmental delay in preschoolers. - Amy Bertha, Rinol Alaj, Imein Bousnina, Megan K. Doyle, Danielle Friend, Rasika Kalamegham, Lauren Oliva, Igor Knezevic, Frank Kramer, Hans-Peter Podhaisky, Sven Reimann:
Incorporating digitally derived endpoints within clinical development programs by leveraging prior work. - Dylan Powell, Alan Godfrey:
Considerations for integrating wearables into the everyday healthcare practice. - Di Cui, Dora Janela, Fabíola Costa, Maria Molinos, Anabela C. Areias, Robert G. Moulder, Justin K. Scheer, Virgílio Bento, Steven P. Cohen, Vijay Yanamadala, Fernando Dias Correia:
Randomized-controlled trial assessing a digital care program versus conventional physiotherapy for chronic low back pain. - Alaa A. Abd-Alrazaq, Israa Abuelezz, Eiman Al-Jafar, Kerstin Denecke, Mowafa Said Househ, Sarah Aziz, Arfan Ahmed, Ali Odeh Aljaafreh, Rawan AlSaad, Javaid Sheikh:
The performance of serious games for enhancing attention in cognitively impaired older adults. - Negar Farzaneh, Sardar Ansari, Elizabeth Lee, Kevin R. Ward, Michael W. Sjoding:
Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome. - Md. Saiful Islam, Wasifur Rahman, Abdelrahman Abdelkader, Sangwu Lee, Phillip T. Yang, Jennifer Lynn Purks, Jamie L. Adams, Ruth B. Schneider, Earl Ray Dorsey, Mohammed E. Hoque:
Using AI to measure Parkinson's disease severity at home. - Andrew K. C. Wong, Pei-Yuan Zhou, Annie E.-S. Lee:
Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system. - David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang:
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. - Farida Mohsen, Hamada R. H. Al-Absi, Noha A. Yousri, Nady El Hajj, Zubair Shah:
A scoping review of artificial intelligence-based methods for diabetes risk prediction. - Michael D. Abràmoff, Noelle Whitestone, Jennifer L. Patnaik, Emily Rich, Munir Ahmed, Lutful Husain, Mohammad Yeadul Hassan, Md. Sajidul Huq Tanjil, Dena Weitzman, Tinglong Dai, Brandie D. Wagner, David H. Cherwek, Nathan Congdon, Khairul Islam:
Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial. - Shern Ping Choy, Byung Jin Kim, Alexandra Paolino, Wei Ren Tan, Sarah Man Lin Lim, Jessica Seo, Sze Ping Tan, Luc Francis, Teresa Tsakok, Michael Simpson, Jonathan N. W. N. Barker, Magnus D. Lynch, Mark S. Corbett, Catherine H. Smith, Satveer K. Mahil:
Systematic review of deep learning image analyses for the diagnosis and monitoring of skin disease. - Agustina Saenz, Zach Harned, Oishi Banerjee, Michael D. Abràmoff, Pranav Rajpurkar:
Autonomous AI systems in the face of liability, regulations and costs. - Thomas S. Salisbury, Alexander T. Deng, Emily Burch, Alan Godfrey:
Digital Fellowships: Inspiring use of contemporary technologies in applied healthcare. - Mindy Nunez Duffourc, Sara Gerke:
The proposed EU Directives for AI liability leave worrying gaps likely to impact medical AI. - Elise N. Erickson, Neta Gotlieb, Leonardo M. Pereira, Leslie Myatt, Clara Mosquera Lopez, Peter G. Jacobs:
Predicting labor onset relative to the estimated date of delivery using smart ring physiological data. - Oscar Freyer, Stephen Gilbert:
Bridging between hype and implementation in medical extended reality. - Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Maxwell X. Otiato, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Quoc-Dien Trinh, Animashree Anandkumar, Andrew J. Hung:
Human visual explanations mitigate bias in AI-based assessment of surgeon skills. - Jordan Silberman, Paul Wicks, Smit Patel, Siavash Sarlati, Siyeon Park, Igor O. Korolev, Jenna R. Carl, Jocelynn T. Owusu, Vimal Mishra, Manpreet Kaur, Vincent J. Willey, Madalina L. Sucala, Tim R. Campellone, Cindy Geoghegan, Isaac R. Rodriguez-Chavez, Benjamin Vandendriessche, Jennifer C. Goldsack:
Rigorous and rapid evidence assessment in digital health with the evidence DEFINED framework.
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