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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 R. 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. - Vijaytha 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 E. K. 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.