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ORCIDnpj Digital Medicine, Volume 5
Volume 5, 2022
- Grace Guan
, Merav Mofaz, Gary Qian, Tal Patalon, Erez Shmueli, Dan Yamin, Margaret L. Brandeau:
Higher sensitivity monitoring of reactions to COVID-19 vaccination using smartwatches.
- Michael Fanton, Yaar Harari, Matthew Giffhorn, Allie Lynott, Eli Alshan, Jonathan Mendley, Madeline Czerwiec, Rebecca Macaluso, Ianir A. Ideses, Eduard Oks, Arun Jayaraman:
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health. - Amanda Adeleye, Katrina Cruz, Marcelle I. Cedars, Lauri Pasch, Heather Huddleston:
Learning from Online Video Education (LOVE) improves confidence in fertility treatments: a randomized controlled trial. - Kaushik P. Venkatesh, Marium M. Raza, Joseph C. Kvedar:
Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation. - Jochen K. Lennerz, Ursula Green, Drew F. K. Williamson, Faisal Mahmood:
A unifying force for the realization of medical AI. - John D. Halamka, Mohamad Bydon, Paul Cerrato, Anjali Bhagra:
Addressing racial disparities in surgical care with machine learning. - Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. - Marium M. Raza, Kaushik P. Venkatesh, James A. Diao, Joseph C. Kvedar:
Defining digital surgery for the future. - Anna-Carlotta Zarski, Julia Velten, Johannes Knauer, Matthias Berking, David D. Ebert:
Internet- and mobile-based psychological interventions for sexual dysfunctions: a systematic review and meta-analysis. - Chengcheng Gao, Rui Zhang, Xicheng Chen, Tianhua Yao, Qiuyue Song, Wei Ye, Pengpeng Li, Zhenyan Wang, Dong Yi, Yazhou Wu:
Integrating Internet multisource big data to predict the occurrence and development of COVID-19 cryptic transmission. - Sumeyye Balci, Kerstin Spanhel, Lasse Bosse Sander, Harald Baumeister:
Culturally adapting internet- and mobile-based health promotion interventions might not be worth the effort: a systematic review and meta-analysis. - Zhongheng Zhang, Lin Chen, Ping Xu, Qing Wang, Jianjun Zhang, Kun Chen, Casey M. Clements, Leo Anthony Celi, Vitaly Herasevich, Yucai Hong:
Effectiveness of automated alerting system compared to usual care for the management of sepsis. - Sarah M. Goodday, E. Karlin, A. Brooks, C. Chapman, Daniel R. Karlin, Luca Foschini, E. Kipping, M. Wildman, M. Francis, H. Greenman, Li Li, Eric E. Schadt, Marzyeh Ghassemi, Anna Goldenberg, Francesca Cormack, N. Taptiklis, C. Centen, S. Smith, Stephen H. Friend:
Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. - James A. Diao, Marium M. Raza, Kaushik P. Venkatesh, Joseph C. Kvedar:
Watching Parkinson's disease with wrist-based sensors. - Michal Novotny, Tereza Tykalová, Hana Ruzickova, Evzen Ruzicka, Petr Dusek, Jan Rusz:
Automated video-based assessment of facial bradykinesia in de-novo Parkinson's disease. - Recai Yilmaz, Alexander Winkler-Schwartz, Nykan Mirchi, Aiden Reich, Sommer Christie, Dan Huy Tran, Nicole Ledwos, Ali M. Fazlollahi, Carlo Santaguida, Abdulrahman J. Sabbagh, Khalid Bajunaid, Rolando F. Del Maestro:
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation. - James A. Diao, Jayson S. Marwaha, Joseph C. Kvedar:
Video-based physiologic monitoring: promising applications for the ICU and beyond. - Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-Yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting:
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. - Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek:
Author Correction: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). - Thomas C. Tsai, Sercan Ö. Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham, Tomas Pfister:
Algorithmic fairness in pandemic forecasting: lessons from COVID-19. - Marcus D. R. Klarqvist, Saaket Agrawal, Nathaniel Diamant, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera:
Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk. - Hamed Javidi, Arshiya Mariam, Gholamreza Khademi, Emily C. Zabor, Ran Zhao, Tomas Radivoyevitch, Daniel M. Rotroff:
Identification of robust deep neural network models of longitudinal clinical measurements. - J. Randall Moorman:
The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU. - Pascal Geldsetzer, Sergio Flores, Grace Wang, Blanca Flores, Abu Bakarr Rogers, Aditi Bunker, Andrew Y. Chang, Rebecca Tisdale:
A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries. - Carlo Biffi, Pietro Salvagnini, Nhan Ngo Dinh, Cesare Hassan, Prateek Sharma, Giulio Antonelli, Halim Awadie, Sebastian Bernhofer, Sabela Carballal, Mário Dinis-Ribeiro, Agnès Fernández-Clotet, Gloria Fernández-Esparrach, Ian Gralnek, Yuta Higasa, Taku Hirabayashi, Tatsuki Hirai, Mineo Iwatate, Miki Kawano, Markus Mader, Andreas Maieron, Sebastian Mattes, Tastuya Nakai, Ingrid Ordas, Raquel Ortigão, Oswaldo Ortiz Zúñiga, Maria Pellisé, Cláudia Pinto, Florian Riedl, Ariadna Sánchez, Emanuel Steiner, Yukari Tanaka, Andrea Cherubini:
A novel AI device for real-time optical characterization of colorectal polyps. - Elizabeth A. Gibson, Huichu Li, Victoria Fruh, Malaika Gabra, Gowtham Asokan, Anne Marie Z. Jukic, Donna D. Baird, Christine L. Curry, Tyler Fischer-Colbrie, Jukka-Pekka Onnela, Michelle A. Williams, Russ Hauser, Brent A. Coull, Shruthi Mahalingaiah:
Covid-19 vaccination and menstrual cycle length in the Apple Women's Health Study. - Anirudha S. Chandrabhatla, I. Jonathan Pomeraniec, Alexander Ksendzovsky:
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms. - Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison Bai:
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Maximilien Burq, Erin Rainaldi, King Chung Ho, Chen Chen, Bastiaan R. Bloem, Luc J. W. Evers, Rick C. Helmich, Lance Myers, William J. Marks, Ritu Kapur:
Author Correction: Virtual exam for Parkinson's disease enables frequent and reliable remote measurements of motor function. - Ilkin Bayramli, Victor Castro, Yuval Barak-Corren, Emily M. Madsen, Matthew K. Nock, Jordan W. Smoller, Ben Y. Reis:
Predictive structured-unstructured interactions in EHR models: A case study of suicide prediction. - William Wallace, Calvin Chan, Swathikan Chidambaram, Lydia Hanna, Fahad Mujtaba Iqbal, Amish Acharya, Pasha Normahani, Hutan Ashrafian, Sheraz R. Markar, Viknesh Sounderajah, Ara Darzi:
The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review. - Xi Yang, Aokun Chen, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu:
A large language model for electronic health records. - Nansu Zong, Andrew Wen, Sungrim Moon, Sunyang Fu, Liwei Wang, Yiqing Zhao, Yue Yu, Ming Huang, Yanshan Wang, Gang Zheng, Michelle M. Mielke, James R. Cerhan, Hongfang Liu:
Computational drug repurposing based on electronic health records: a scoping review. - Daniel Mølager Christensen, Gunnar Gislason, Thomas Gerds:
Matters Arising: Immortal time bias in the analysis of drug prescription trajectories. - Caihua Wang, Yuanzhong Li, Yukihiro Tsuboshita, Takuya Sakurai, Tsubasa Goto, Hiroyuki Yamaguchi, Yuichi Yamashita, Atsushi Sekiguchi, Hisateru Tachimori:
A high-generalizability machine learning framework for predicting the progression of Alzheimer's disease using limited data. - Emily B. Brant, Jason N. Kennedy, Andrew J. King, Lawrence Gerstley, Pranita Mishra, David Schlessinger, James Shalaby, Gabriel J. Escobar, Derek C. Angus, Christopher W. Seymour, Vincent X. Liu:
Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR. - Johanna I. Westbrook, Ling Li, Magdalena Z. Raban, Virginia Mumford, Tim Badgery-Parker, Peter J. Gates, Erin Fitzpatrick, Alison Merchant, Amanda Woods, Melissa T. Baysari, Cheryl McCullagh, Richard O. Day, Madlen Gazarian, Michael Dickinson, Karla Seaman, Luciano Dalla-Pozza, Geoffrey Ambler, Peter Barclay, Alan Gardo, Tracey O'brien, Draga Barbaric, Les White:
Short- and long-term effects of an electronic medication management system on paediatric prescribing errors. - Zhongwen Li, Wei Qiang, Hongyun Chen, Mengjie Pei, Xiaomei Yu, Layi Wang, Zhen Li, Weiwei Xie, Xuefang Wu, Jiewei Jiang, Guohai Wu:
Artificial intelligence to detect malignant eyelid tumors from photographic images. - Genevieve Coorey, Gemma A. Figtree, David F. Fletcher, Victoria J. Snelson, Stephen T. Vernon, David Winlaw, Stuart M. Grieve, Alistair Lee McEwan, Jean Yee Hwa Yang, Pierre Qian, Kieran O'Brien, Jessica Orchard, Jinman Kim, Sanjay Patel, Julie Redfern:
The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field. - Axel Wismüller, Adora M. DSouza, Anas Z. Abidin, M. Ali Vosoughi, Christopher Gange, Isabel O. Cortopassi, Gracijela Bozovic, Alexander A. Bankier, Kiran Batra, Yosef Chodakiewitz, Yin Xi, Christopher T. Whitlow, Janardhana Ponnatapura, Gary J. Wendt, Eric P. Weinberg, Larry Stockmaster, David A. Shrier, Min Chul Shin, Roshan Modi, Hao Steven Lo, Seth Kligerman, Aws Hamid, Lewis D. Hahn, Glenn M. Garcia, Jonathan H. Chung, Talissa Altes, Suhny Abbara, Anna S. Bader:
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. - Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu:
Automated clinical coding: what, why, and where we are? - Jean Feng, Rachael V. Phillips, Ivana Malenica, Andrew Bishara, Alan E. Hubbard, Leo A. Celi, Romain Pirracchio:
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. - Jayson S. Marwaha, Adam B. Landman, Gabriel A. Brat, Todd Dunn, William J. Gordon:
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation. - Anna Essén, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens, David W. Bates:
Health app policy: international comparison of nine countries' approaches. - Pritika Parmar, Jina Ryu, Shivani Pandya, João Sedoc, Smisha Agarwal:
Health-focused conversational agents in person-centered care: a review of apps. - Reinhard C. Laubenbacher, Anna Niarakis, Tomás Helikar, Gary An, B. Shapiro, Rahuman S. Malik-Sheriff, T. J. Sego, Adam C. Knapp, Paul Macklin, James A. Glazier:
Building digital twins of the human immune system: toward a roadmap. - Adéla Plechatá, Guido Makransky, Robert Böhm:
Can extended reality in the metaverse revolutionise health communication? - Ram A. Dixit, Raj M. Ratwani, Jasmine A. Bishop, Kevin A. Schulman, Christopher D. Sharp, Kerry Palakanis, Ethan Booker:
The impact of expanded telehealth availability on primary care utilization. - Jayson S. Marwaha, Joseph C. Kvedar:
Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI. - Francis Roosevelt Gilliam, Robert Ciesielski, Karlen Shahinyan, Pratistha Shakya, John Cunsolo, Jal M. Panchal, Bartlomiej Król-Józaga, Monika Król, Olivia Kierul, Charles Bridges, Christine Shen, Carly E. Waldman, Martin Ring, Tomasz Szepieniec, Anna Barnacka, Sanjeev P. Bhavnani:
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome. - Kim-Huong Nguyen, Chad Wright, Digby Simpson, Leanna Woods, Tracy Comans, Clair Sullivan:
Economic evaluation and analyses of hospital-based electronic medical records (EMRs): a scoping review of international literature. - Katie M. White, Charlotte Williamson, Nicol Bergou, Carolin Oetzmann, Valeria de Angel, Faith Matcham, Claire Henderson, Matthew Hotopf:
A systematic review of engagement reporting in remote measurement studies for health symptom tracking. - Dong-Yun Kim, Soo Jin Lee, Eun-Kyu Kim, Eunyoung Kang, Chan Yeong Heo, Jae Hoon Jeong, Yujin Myung, In Ah Kim, Bum-Sup Jang:
Author Correction: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction. - Adam D. Nahari, Mary Beth F. Son, Jane W. Newburger, Ben Y. Reis:
An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C. - Corey A. Lester, Jiazhao Li, Yuting Ding, Brigid Rowell, Xi Jessie Yang, Raed Al Kontar:
Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort. - Isaac S. Chua, Christine S. Ritchie, David W. Bates:
Enhancing serious illness communication using artificial intelligence. - Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Silvia De Sanjosé, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer:
Improving the repeatability of deep learning models with Monte Carlo dropout. - Benjamin J. Mandl, Ben Y. Reis:
The language of crisis: spatiotemporal effects of COVID-19 pandemic dynamics on health crisis communications by political leaders. - Rahul Raj, Jenni Wennervirta, Jonathan Tjerkaski, Teemu M. Luoto, Jussi P. Posti, David W. Nelson, Riikka Takala, Stepani Bendel, Eric P. Thelin, Teemu Luostarinen, Miikka Korja:
Dynamic prediction of mortality after traumatic brain injury using a machine learning algorithm. - Haoyang Zheng, Jeffrey R. Petrella, P. Murali Doraiswamy, Guang Lin, Wenrui Hao:
Data-driven causal model discovery and personalized prediction in Alzheimer's disease. - Lorinda Coombs, Abigail Orlando, Xiaoliang Wang, Pooja Shaw, Alexander S. Rich, Shreyas Lakhtakia, Karen Titchener, Blythe Adamson, Rebecca A. Miksad, Kathi Mooney:
A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology. - William C. W. Wong, Gifty Marley, Jingjing Li, Weihui Yan, Po-lin Chan, Joseph D. Tucker, Weiming Tang, Yuxin Ni, Dan Dan Cheng, Lou Cong, Wai-Kay Seto:
A randomized controlled trial enhancing viral hepatitis testing in primary care via digital crowdsourced intervention. - Changhee Lee, Alexander Light, Evgeny S. Saveliev, Mihaela van der Schaar, Vincent J. Gnanapragasam:
Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer. - Dian Kesumapramudya Nurputra, Ahmad Kusumaatmaja, Mohamad Saifudin Hakim, Shidiq Nur Hidayat, Trisna Julian, Budi Sumanto, Yodi Mahendradhata, Antonia Morita Iswari Saktiawati, Hutomo Suryo Wasisto, Kuwat Triyana:
Fast and noninvasive electronic nose for sniffing out COVID-19 based on exhaled breath-print recognition. - Taiyu Zhu, Chukwuma Uduku, Kezhi Li, Pau Herrero, Nick Oliver, Pantelis Georgiou:
Enhancing self-management in type 1 diabetes with wearables and deep learning. - Michelle Holko, Tamara R. Litwin, Fatima Munoz, Katrina I. Theisz, Linda Salgin, Nancy Piper Jenks, Beverly W. Holmes, Pamelia Watson-McGee, Eboni Winford, Yashoda Sharma:
Wearable fitness tracker use in federally qualified health center patients: strategies to improve the health of all of us using digital health devices. - Helen L. Ball, Alice-Amber Keegan:
Digital health tools to support parents with parent-infant sleep and mental well-being. - T. Jessie Ge, Carmel T. Chan, Brian J. Lee, Joseph C. Liao, Seung-Min Park:
Smart toilets for monitoring COVID-19 surges: passive diagnostics and public health. - Jonathan T. Megerian, Sangeeta Dey, Raun D. Melmed, Daniel L. Coury, Marc Lerner, Christopher J. Nicholls, Kristin Sohl, Rambod Rouhbakhsh, Anandhi Narasimhan, Jonathan Romain, Sailaja Golla, Safiullah Shareef, Andrey Ostrovsky, Jennifer Shannon, Colleen Kraft, Stuart Liu-Mayo, Halim Abbas, Diana E. Gal-Szabo, Dennis P. Wall, Sharief Taraman:
Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder. - Seung Wook Lee, Hyung-Chul Lee, Jungyo Suh, Kyung Hyun Lee, Heonyi Lee, Suryang Seo, Tae Kyong Kim, Sang-Wook Lee, Yi-Jun Kim:
Multi-center validation of machine learning model for preoperative prediction of postoperative mortality. - Sharib Ali:
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions. - Jenny Yang, Andrew A. S. Soltan, David A. Clifton:
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening. - Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas:
Integrated multimodal artificial intelligence framework for healthcare applications. - Hans-Christian Thorsen-Meyer, Davide Placido, Benjamin Skov Kaas-Hansen, Anna P. Nielsen, Theis Lange, Annelaura B. Nielsen, Palle Toft, Jens Schierbeck, Thomas Strøm, Piotr Chmura, Marc Heimann, Kirstine Belling, Anders Perner, Søren Brunak:
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data. - Agata Blasiak, Anh Thanh Lan Truong, Alexandria Remus, Lissa Hooi, Shirley Gek Kheng Seah, Peter Wang, De Hoe Chye, Angeline Pei Chiew Lim, Kim Tien Ng, Swee Teng Teo, Yee-Joo Tan, David Michael Allen, Louis Yi Ann Chai, Wee Joo Chng, Raymond T. P. Lin, David C. B. Lye, John Eu-Li Wong, Gek-Yen Gladys Tan, Conrad En Zuo Chan, Edward Kai-Hua Chow, Dean Ho:
The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens. - João Jorge, Mauricio Villarroel, Hamish Tomlinson, Oliver Gibson, Julie L. Darbyshire, Jody Ede, Mirae Harford, J. Duncan Young, Lionel Tarassenko, Peter J. Watkinson:
Non-contact physiological monitoring of post-operative patients in the intensive care unit. - Jing Wang, Zhengqiang Wang, Mingkai Chen, Yong Xiao, Shi Chen, Lianlian Wu, Liwen Yao, Xiaoda Jiang, Jiao Li, Ming Xu, Mengjuan Lin, Yijie Zhu, Renquan Luo, Chenxia Zhang, Xun Li, Honggang Yu:
An interpretable artificial intelligence system for detecting risk factors of gastroesophageal variceal bleeding. - Kaushik P. Venkatesh, Marium M. Raza, James A. Diao, Joseph C. Kvedar:
Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI. - Sun Yeop Lee, Sangwoo Ha, Min Gyeong Jeon, Hao Li, Hyunju Choi, Hwa Pyung Kim, Ye Ra Choi, Hoseok I, Yeon Joo Jeong, Yoon Ha Park, Hyemin Ahn, Sang Hyup Hong, Hyun Jung Koo, Choong Wook Lee, Min Jae Kim, Yeon Joo Kim, Kyung Won Kim, Jong Mun Choi:
Localization-adjusted diagnostic performance and assistance effect of a computer-aided detection system for pneumothorax and consolidation. - Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Yu Wu, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. - Alaa A. Abd-Alrazaq, Dari AlHuwail, Jens Schneider, Carla T. Toro, Arfan Ahmed, Mahmood Alzubaidi, Mohannad Alajlani, Mowafa S. Househ:
The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review. - Dong-Yun Kim, Soo Jin Lee, Eun-Kyu Kim, Eunyoung Kang, Chan Yeong Heo, Jae Hoon Jeong, Yujin Myung, In Ah Kim, Bum-Sup Jang:
Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction. - Kyle Lam, Junhong Chen, Zeyu Wang, Fahad Mujtaba Iqbal, Ara Darzi, Benny Lo, Sanjay Purkayastha, James Kinross:
Machine learning for technical skill assessment in surgery: a systematic review. - Jiayi Tong, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie J. Edmondson, Peter A. Merkel, Ebbing Lautenbach, Rui Duan, Yong Chen:
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites. - Ross Lathan, Misha Sidapra, Marina Yiasemidou, Judith Long, Joshua Totty, George Smith, Ian Chetter:
Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis. - Kristin M. Kostick-Quenet, Sara Gerke:
AI in the hands of imperfect users. - Giorgio Quer, Matteo Gadaleta, Jennifer M. Radin, Kristian G. Andersen, Katie Baca-Motes, Edward Ramos, Eric J. Topol, Steven R. Steinhubl:
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands. - John Torous, Ariel Dora Stern, Florence T. Bourgeois:
Regulatory considerations to keep pace with innovation in digital health products. - Eugenia Rinaldi, Caroline Stellmach, Naveen Moses Raj Rajkumar, Natascia Caroccia, Chiara Dellacasa, Maddalena Giannella, Mariana Guedes, Massimo Mirandola, Gabriella Scipione, Evelina Tacconelli, Sylvia Thun:
Harmonization and standardization of data for a pan-European cohort on SARS- CoV-2 pandemic. - Tadeusz Ciecierski-Holmes, Ritvij Singh, Miriam Axt, Stephan Brenner, Sandra Barteit:
Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review. - Dianbo Liu, Won-Yong Shin, Eli Sprecher, Kathleen Conroy, Omar Santiago, Gal Wachtel, Mauricio Santillana:
Machine learning approaches to predicting no-shows in pediatric medical appointment. - Safiya Richardson, Katharine Lawrence, Antoinette M. Schoenthaler, Devin M. Mann:
A framework for digital health equity. - Youn J. Kang, Hany M. Arafa, Jae-Young Yoo, Cagla Kantarcigil, Jin-Tae Kim, Hyoyoung Jeong, Seonggwang Yoo, Seyong Oh, Joohee Kim, Changsheng Wu, Andreas Tzavelis, Yunyun Wu, Kyeongha Kwon, Joshua Winograd, Shuai Xu, Bonnie Martin-Harris, John A. Rogers:
Soft skin-interfaced mechano-acoustic sensors for real-time monitoring and patient feedback on respiratory and swallowing biomechanics. - Michael D. Abràmoff, Cybil Roehrenbeck, Sylvia Trujillo, Juli Goldstein, Anitra S. Graves, Michael X. Repka, Ezequiel:
A reimbursement framework for artificial intelligence in healthcare. - Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, Sophia Ananiadou:
Natural language processing applied to mental illness detection: a narrative review. - Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev:
Representational ethical model calibration.