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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, Nick Taptiklis, Corey 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 X. 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 S. 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 B. 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. - Chengdi Wang, Jiechao Ma, Shu Zhang, Jun Shao, Yanyan Wang, Hong-Yu Zhou, Lujia Song, Jie Zheng, Yizhou Yu, Weimin Li:
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. - Fernando Vieira, Subhashini Venugopalan, Alan S. Premasiri, Maeve McNally, Aren Jansen, Kevin McCloskey, Michael P. Brenner, Steven Perrin:
A machine-learning based objective measure for ALS disease severity. - Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - William J. Gordon, Naruhiko Ikoma, Heather Lyu, Gretchen Purcell Jackson, Adam B. Landman:
Protecting procedural care - cybersecurity considerations for robotic surgery. - James A. Diao, Joseph C. Kvedar:
Computer copilots for endoscopic diagnosis. - Marzyeh Ghassemi, Shakir Mohamed:
Machine learning and health need better values. - Qiongge Li, Jean Wright, Russell Hales, K. Ranh Voong, Todd McNutt:
A digital physician peer to automatically detect erroneous prescriptions in radiotherapy. - Adam B. Cohen, Lisa Stump, Harlan M. Krumholz, Margaret Cartiera, Sanchita Jain, L. Scott Sussman, Allen Hsiao, Walter Lindop, Anita Kuo Ying, Rebecca L. Kaul, Thomas J. Balcezak, Welela Tereffe, Matthew Comerford, Daniel Jacoby, Neema Navai:
Aligning mission to digital health strategy in academic medical centers. - James A. Diao, Kaushik P. Venkatesh, Marium M. Raza, Joseph C. Kvedar:
Multinational landscape of health app policy: toward regulatory consensus on digital health. - Nadir Sella, Anne-Sophie Hamy, Vincent Cabeli, Lauren Darrigues, Marick Laé, Fabien Reyal, Hervé Isambert:
Interactive exploration of a global clinical network from a large breast cancer cohort. - George Roussos, Teresa Ruiz-Herrero, Derek L. Hill, Ariel V. Dowling, Martijn L. T. M. Müller, Luc J. W. Evers, Jackson Burton, Adrian Derungs, Katherine Fisher, Krishna Praneeth Kilambi, Nitin Mehrotra, Roopal Bhatnagar, Sakshi Sardar, Diane Stephenson, Jamie L. Adams, Earl Ray Dorsey, Josh Cosman:
Identifying and characterising sources of variability in digital outcome measures in Parkinson's disease. - Carolin Oetzmann, Katie M. White, Alina Ivan, Jessica Julie, Daniel Leightley, Grace Lavelle, Femke Lamers, Sara Siddi, Peter Annas, Sara Arranz Garcia, Josep Maria Haro, David C. Mohr, Brenda W. J. H. Penninx, Sara Simblett, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Faith Matcham:
Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. - Rowan S. M. Howell, Matthew A. Clarke, Ann-Kathrin Reuschl, Tianyi Chen, Sean Abbott-Imboden, Mervyn Singer, David M. Lowe, Clare L. Bennett, Benjamin Chain, Clare Jolly, Jasmin Fisher:
Executable network of SARS-CoV-2-host interaction predicts drug combination treatments. - Mohammad Yavarimanesh, Hao-Min Cheng, Chen-Huan Chen, Shih-Hsien Sung, Aman Mahajan, Rabih A. Chaer, Sanjeev G. Shroff, Jin-Oh Hahn, Ramakrishna Mukkamala:
Abdominal aortic aneurysm monitoring via arterial waveform analysis: towards a convenient point-of-care device. - Paul Porter, Huaqiong Zhou, Brooke Schneider, Jennifer Choveaux, Natasha Bear, Phillip Della, Kym Jones:
Accuracy, interpretability and usability study of a wireless self-guided fetal heartbeat monitor compared to cardiotocography. - Joseph C. Kvedar, Mirja Mittermaier, Jordan Pritzker:
The industry impact of the American Medical Association's Digital Medicine Payment Advisory Group (DMPAG). - Lorenz Frey, Carlo Menon, Mohamed Elgendi:
Blood pressure measurement using only a smartphone. - Ashish Sarraju, Clark Seninger, Vijaya Parameswaran, Christina Petlura, Tamara Bazouzi, Kiranbir Josan, Upinder Grewal, Thomas Viethen, Hardi Mundl, Joachim Luithle, Leonard Basobas, Alexis Touros, Michael J. T. Senior, Koen De Lombaert, Kenneth W. Mahaffey, Mintu P. Turakhia, Rajesh Dash:
Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP). - Fanny Kählke, Claudia Buntrock, Filip Smit, David D. Ebert:
Systematic review of economic evaluations for internet- and mobile-based interventions for mental health problems. - Joe Zhang, Sanjay Budhdeo, William Wasswa, Paul Cerrato, Haris Shuaib, Harpreet Sood, Hutan Ashrafian, John D. Halamka, James T. Teo:
Moving towards vertically integrated artificial intelligence development. - 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:
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - 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:
Author Correction: A novel AI device for real-time optical characterization of colorectal polyps. - Jason S. Hoffman, Varun K. Viswanath, Caiwei Tian, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang:
Smartphone camera oximetry in an induced hypoxemia study. - Zella King, Joseph Farrington, Martin Utley, Enoch Kung, Samer Elkhodair, Steve K. Harris, Richard Sekula, Jonathan Gillham, Kezhi Li, Sonya Crowe:
Machine learning for real-time aggregated prediction of hospital admission for emergency patients. - Chathurangi H. Pathiravasan, Yuankai Zhang, Xuzhi Wang, Ludovic Trinquart, Emelia J. Benjamin, Belinda Borrelli, David D. McManus, Vik Kheterpal, Honghuang Lin, Nicole L. Spartano, Eric Schramm, Chunyu Liu, Joanne M. Murabito:
Factors associated with long-term use of digital devices in the electronic Framingham Heart Study. - Milena Guessi Margarido, Amika Shah, Emily Seto:
Smartphone applications for informal caregivers of chronically ill patients: a scoping review. - Peng Xue, Jiaxu Wang, Dongxu Qin, Huijiao Yan, Yimin Qu, Samuel Seery, Yu Jiang, Youlin Qiao:
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis. - Simon P. Rowland, J. Edward Fitzgerald, Matthew P. Lungren, Elizabeth Lee, Zach Harned, Alison H. McGregor:
Digital health technology-specific risks for medical malpractice liability. - Haomin Chen, Catalina Gomez, Chien-Ming Huang, Mathias Unberath:
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review. - Gaël Varoquaux, Veronika Cheplygina:
Machine learning for medical imaging: methodological failures and recommendations for the future. - Katharine Henry, Rachel Kornfield, Anirudh Sridharan, Robert C. Linton, Catherine Groh, Tony Wang, Albert Wu, Bilge Mutlu, Suchi Saria:
Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system. - Rayner K. J. Tan, Dan Wu, Suzanne Day, Yang Zhao, Heidi J. Larson, Sean Sylvia, Weiming Tang, Joseph D. Tucker:
Digital approaches to enhancing community engagement in clinical trials. - Srikanth Vasudevan, Anindita Saha, Michelle E. Tarver, Bakul Patel:
Digital biomarkers: Convergence of digital health technologies and biomarkers. - Shaan Khurshid, Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Samuel F. Friedman, Paolo Di Achille, Nathaniel Diamant, Jonathan W. Cunningham, Ashby C. Turner, Emily S. Lau, Julian S. Haimovich, Mostafa A. Al-Alusi, Xin Wang, Marcus D. R. Klarqvist, Jeffrey M. Ashburner, Christian Diedrich, Mercedeh Ghadessi, Johanna Mielke, Hanna M. Eilken, Alice McElhinney, Andrea Derix, Steven J. Atlas, Patrick T. Ellinor, Anthony A. Philippakis, Christopher D. Anderson, Jennifer E. Ho, Puneet Batra, Steven A. Lubitz:
Cohort design and natural language processing to reduce bias in electronic health records research. - Maulik D. Majmudar, Siddhartha Chandra, Kiran Yakkala, Samantha Kennedy, Amit Agrawal, Mark Sippel, Prakash Ramu, Apoorv Chaudhri, Brooke Smith, Antonio Criminisi, Steven B. Heymsfield, Fatima Cody Stanford:
Smartphone camera based assessment of adiposity: a validation study. - Lana Kambeitz-Ilankovic, Uma Rzayeva, Laura Völkel, Julian Wenzel, Johanna Weiske, Frank Jessen, Ulrich Reininghaus, Peter J. Uhlhaas, Mario Alvarez-Jimenez, Joseph Kambeitz:
A systematic review of digital and face-to-face cognitive behavioral therapy for depression. - Shruti Jayakumar, Viknesh Sounderajah, Pasha Normahani, Leanne Harling, Sheraz R. Markar, Hutan Ashrafian, Ara Darzi:
Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study. - Rohan Khera, Bobak J. Mortazavi, Veer Sangha, Frederick Warner, Hobart Patrick Young, Joseph S. Ross, Nilay D. Shah, Elitza S. Theel, William G. Jenkinson, Camille Knepper, Karen H. Wang, David Peaper, Richard A. Martinello, Cynthia A. Brandt, Zhenqiu Lin, Albert I. Ko, Harlan M. Krumholz, Benjamin D. Pollock, Wade L. Schulz:
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. - Ha Young Jang, Jihyeon Song, Jae Hyun Kim, Howard Lee, In-Wha Kim, Bongki Moon, Jung Mi Oh:
Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information. - Alina-Irina Serban, Eyal Soreq, Payam M. Barnaghi, Sarah Daniels, Rafael A. Calvo, David J. Sharp:
The effect of COVID-19 on the home behaviours of people affected by dementia. - Kaushik P. Venkatesh, Marium M. Raza, Joseph C. Kvedar:
Has increased telehealth access during COVID-19 led to over-utilization of primary care? - 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:
Virtual exam for Parkinson's disease enables frequent and reliable remote measurements of motor function. - Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse:
Author Correction: Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. - Steven J. Krieg, Carolina Avendano, Evan Grantham-Brown, Aaron Lilienfeld Asbun, Jennifer J. Schnur, Marie Lynn Miranda, Nitesh V. Chawla:
Data-driven testing program improves detection of COVID-19 cases and reduces community transmission. - Linda Camaj Deda, Rebecca H. Goldberg, Taylor A. Jamerson, Ivy Lee, Trilokraj Tejasvi:
Dermoscopy practice guidelines for use in telemedicine. - Chinmay Kumar Dwibedi, Emelia Mellergård, Amaru Cuba Gyllensten, Kristoffer Nilsson, Annika S. Axelsson, Malin Bäckman, Magnus Sahlgren, Stephen H. Friend, Sofie Persson, Stefan Franzén, Birgitta Abrahamsson, Katarina Steen Carlsson, Anders H. Rosengren:
Effect of self-managed lifestyle treatment on glycemic control in patients with type 2 diabetes. - Brintha Sivajohan, Mohamed Elgendi, Carlo Menon, Catherine Allaire, Paul J. Yong, Mohamed A. Bedaiwy:
Clinical use of artificial intelligence in endometriosis: a scoping review. - Neta Gotlieb, Amirhossein Azhie, Divya Sharma, Ashley Spann, Nan-Ji Suo, Jason Tran, Ani Orchanian-Cheff, Bo Wang, Anna Goldenberg, Michael Chassé, Héloïse Cardinal, Joseph Paul Cohen, Andrea Lodi, Melanie Dieude, Mamatha Bhat:
The promise of machine learning applications in solid organ transplantation. - Noah Goodson, Paul Wicks, Jayne Morgan, Leen Hashem, Sinéad Callinan, John Reites:
Opportunities and counterintuitive challenges for decentralized clinical trials to broaden participant inclusion. - Zhiyong Zhang, Ningtao Liu, Zhang Guo, Licheng Jiao, Aaron Fenster, Wenfan Jin, Yuxiang Zhang, Jie Chen, Chunxia Yan, Shuiping Gou:
Ageing and degeneration analysis using ageing-related dynamic attention on lateral cephalometric radiographs. - Marium M. Raza, Kaushik P. Venkatesh, Joseph C. Kvedar:
Intelligent risk prediction in public health using wearable device data. - Philipp Wendland, Colin Birkenbihl, Marc Gomez-Freixa, Meemansa Sood, Maik Kschischo, Holger Fröhlich:
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations. - Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang:
Confounders mediate AI prediction of demographics in medical imaging. - Richard A. Frank, Robert Jarrin, Jordan Pritzker, Michael D. Abràmoff, Michael X. Repka, Pat D. Baird, S. Marlene Grenon, Megan Ruth Mahoney, John E. Mattison, Ezequiel Silva:
Developing current procedural terminology codes that describe the work performed by machines. - Faris F. Gulamali, Ashwin Sawant, Patricia H. Kovatch, Benjamin S. Glicksberg, Alexander Charney, Girish N. Nadkarni, Eric K. Oermann:
Autoencoders for sample size estimation for fully connected neural network classifiers. - Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael Tin Chung Poon, Natalie K. Fitzpatrick, Adam P. Levine, Luke T. Slater, Alex Handy, Andreas Karwath, Georgios V. Gkoutos, Claude Chelala, Anoop D. Shah, Robert Stewart, Nigel Collier, Beatrice Alex, William Whiteley, Cathie Sudlow, Angus Roberts, Richard J. B. Dobson:
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. - L. G. Hutchinson, Oliver Grimm:
Integrating digital pathology and mathematical modelling to predict spatial biomarker dynamics in cancer immunotherapy. - Narayan Schütz, Samuel E. J. Knobel, Angela Botros, Michael Single, Bruno Pais, Valérie Santschi, Daniel Gatica-Perez, Philipp Buluschek, Prabitha Urwyler, Stephan M. Gerber, René M. Müri, Urs P. Mosimann, Hugo Saner, Tobias Nef:
A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust. - Kyle Lam, Michael D. Abràmoff, José M. Balibrea, Steven M. Bishop, Richard R. Brady, Rachael Callcut, Manish Chand, Justin Collins, Markus K. Diener, Matthias Eisenmann, Kelly Fermont, Manoel Galvao Neto, Gregory D. Hager, Robert J. Hinchliffe, Alan Horgan, Pierre Jannin, Alexander Langerman, Kartik Logishetty, Amit Mahadik, Lena Maier-Hein, Esteban Martín Antona, Pietro Mascagni, Ryan K. Mathew, Beat P. Müller-Stich, Thomas Neumuth, Felix Nickel, Adrian Park, Gianluca Pellino, Frank Rudzicz, Sam Shah, Mark Slack, Myles J. Smith, Naeem Soomro, Stefanie Speidel, Danail Stoyanov, Henry S. Tilney, Martin Wagner, Ara Darzi, James Kinross, Sanjay Purkayastha:
A Delphi consensus statement for digital surgery. - Tong Wang, Wei Wang, Jun Liang, Mingfu Nuo, Qinglian Wen, Wei Wei, Hongbin Han, Jianbo Lei:
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis. - Pietro Mascagni, Deepak Alapatt, Luca Sestini, Maria S. Altieri, Amin Madani, Yusuke Watanabe, Adnan Alseidi, Jay A. Redan, Sergio Alfieri, Guido Costamagna, Ivo Boskoski, Nicolas Padoy, Daniel A. Hashimoto:
Computer vision in surgery: from potential to clinical value. - Justin Niestroy, J. Randall Moorman, Maxwell Adam Levinson, Sadnan Al Manir, Timothy W. Clark, Karen Fairchild, Douglas E. Lake:
Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis. - Shaan Khurshid, Lu-Chen Weng, Victor Nauffal, James P. Pirruccello, Rachael A. Venn, Mostafa A. Al-Alusi, Emelia J. Benjamin, Patrick T. Ellinor, Steven A. Lubitz:
Wearable accelerometer-derived physical activity and incident disease. - Casey C. Bennett, Mindy K. Ross, Eu-Gene Baek, Dohyeon Kim, Alex D. Leow:
Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory. - Md. Mobashir Hasan Shandhi, Peter J. Cho, Ali R. Roghanizad, Karnika Singh, Will Ke Wang, Oana M. Enache, Amanda Stern, Rami Sbahi, Bilge Tatar, Sean Fiscus, Qi Xuan Khoo, Yvonne Kuo, Xiao Lu, Joseph Hsieh, Alena Kalodzitsa, Amir Bahmani, Arash Alavi, Utsab Ray, Michael P. Snyder, Geoffrey S. Ginsburg, Dana K. Pasquale, Christopher W. Woods, Ryan J. Shaw, Jessilyn Dunn:
A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19. - Patrick Heindel, Tanujit Dey, Jessica Feliz, Dirk M. Hentschel, Deepak L. Bhatt, Mohammed Al-Omran, Michael Belkin, C. Keith Ozaki, Mohamad Hussain:
Predicting radiocephalic arteriovenous fistula success with machine learning. - Anne A. H. de Hond, Artuur M. Leeuwenberg, Lotty Hooft, Ilse M. J. Kant, Steven W. J. Nijman, Hendrikus J. A. van Os, Jiska J. Aardoom, Thomas P. A. Debray, Ewoud Schuit, Maarten van Smeden, Johannes B. Reitsma, Ewout W. Steyerberg, Niels H. Chavannes, Karel G. M. Moons:
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. - Evan D. Muse, Shang-Fu Chen, Shuchen Liu, Brianna Fernandez, Brian Schrader, Bhuvan Molparia, André Nicolás León, Raymond Lee, Neha Pubbi, Nolan Mejia, Christina Ren, Ahmed El-kalliny, Ernesto Prado Montes de Oca, Héctor Aguilar, Arjun Ghoshal, Raquel Dias, Doug Evans, Kai-Yu Chen, Yunyue Zhang, Nathan E. Wineinger, Emily G. Spencer, Eric J. Topol, Ali Torkamani:
Impact of polygenic risk communication: an observational mobile application-based coronary artery disease study. - Ben Li, Tiam Feridooni, Cesar Cuen-Ojeda, Teruko Kishibe, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran:
Machine learning in vascular surgery: a systematic review and critical appraisal. - Griffin M. Weber, Chuan Hong, Zongqi Xia, Nicolas Paris, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Martin Wolkewitz, Scott Wong, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco:
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. - Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung:
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. - Shilong Li, Zichen Wang, Luciana Vieira, Amanda B. Zheutlin, Boshu Ru, Emilio Schadt, Pei Wang, Alan B. Copperman, Joanne Stone, Susan Gross, Yu-Han Kao, Yan Kwan Lau, Siobhan M. Dolan, Eric E. Schadt, Li Li:
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data. - Bethany Golden, Ifeyinwa V. Asiodu, Linda S. Franck, Celestine Yayra Ofori-Parku, Daniel Felipe Martín Suárez-Baquero, Tracy Youngston, Monica R. McLemore:
Emerging approaches to redressing multi-level racism and reproductive health disparities. - Thomas F. Kirk, Adam J. Barker, Armen Bodossian, Robert Staruch:
Vaximap: route optimisation for housebound vaccination. - Laust Hvas Mortensen, Søren Brunak:
Reply to: Immortal time bias in the analysis of drug prescription trajectories. - Christopher J. Smalt, Jenna A. Sugai, Elouise A. Koops, Kelly N. Jahn, Kenneth E. Hancock, Daniel B. Polley:
Automatic identification of tinnitus malingering based on overt and covert behavioral responses during psychoacoustic testing. - Abigail Bartolome, Temiloluwa Prioleau:
Author Correction: A computational framework for discovering digital biomarkers of glycemic control. - Abigail Bartolome, Temiloluwa Prioleau:
A computational framework for discovering digital biomarkers of glycemic control. - Andreas Brink-Kjaer, Eileen B. Leary, Haoqi Sun, M. Brandon Westover, Katie L. Stone, Paul E. Peppard, Nancy E. Lane, Peggy M. Cawthon, Susan Redline, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot:
Age estimation from sleep studies using deep learning predicts life expectancy. - Brittany P. Chapman, Bhanu Teja Gullapalli, Tauhidur Rahman, David Smelson, Edward W. Boyer, Stephanie Carreiro:
Impact of individual and treatment characteristics on wearable sensor-based digital biomarkers of opioid use. - Jakob F. Mathiszig-Lee, Finneas J. R. Catling, S. Ramani Moonesinghe, Stephen J. Brett:
Highlighting uncertainty in clinical risk prediction using a model of emergency laparotomy mortality risk. - Kevin Y. X. Wang, Gulietta M. Pupo, Varsha Tembe, Ellis Patrick, Dario Strbenac, Sarah-Jane Schramm, John F. Thompson, Richard A. Scolyer, Samuel Müller, Garth Tarr, Graham J. Mann, Jean Yee Hwa Yang:
Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine. - Jeremiah Hinson, Eili Y. Klein, Aria Smith, Matthew F. Toerper, Trushar Dungarani, David Hager, Peter Hill, Gabor Kelen, Joshua D. Niforatos, R. Scott Stephens, Alexandra T. Strauss, Scott Levin:
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions. - Megan L. Ranney, Stefanie Friedhoff:
Public communication about public health where we really need to go. - Khalil B. Ramadi, Rhea Mehta, David He, Sichen Chao, Zen Chu, Rifat Atun, Freddy T. Nguyen:
Grass-roots entrepreneurship complements traditional top-down innovation in lung and breast cancer. - James A. Diao, Marium M. Raza, Kaushik P. Venkatesh, Joseph C. Kvedar:
Computational drug repurposing in the age of COVID-19: mixing antiviral cocktails in silico. - Jixuan Wang, Jingbo Yang, Haochi Zhang, Helen Lu, Marta Skreta, Mia Husic, Aryan Arbabi, Nicole Sultanum, Michael Brudno:
PhenoPad: Building AI enabled note-taking interfaces for patient encounters. - Zheng Xu, Nicole Zahradka, Seyvonne Ip, Amir Koneshloo, Ryan T. Roemmich, Sameep Sehgal, Kristin B. Highland, Peter C. Searson:
Evaluation of physical health status beyond daily step count using a wearable activity sensor. - Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. - Jakob Nikolas Kather, Narmin Ghaffari Laleh, Sebastian Foersch, Daniel Truhn:
Medical domain knowledge in domain-agnostic generative AI. - Risa M. Wolf, Michael D. Abràmoff, Roomasa Channa, Chris Tava, Warren Clarida, Harold P. Lehmann:
Potential reduction in healthcare carbon footprint by autonomous artificial intelligence. - I-Wen Wu, Tsung-Hsien Tsai, Chi-Jen Lo, Yi-Ju Chou, Chi-Hsiao Yeh, Yun-Hsuan Chan, Jun-Hong Chen, Paul Wei-Che Hsu, Heng-Chih Pan, Heng-Jung Hsu, Chun-Yu Chen, Chin-Chan Lee, Yu-Chiau Shyu, Chih-Lang Lin, Mei-Ling Cheng, Chi-Chun Lai, Huey-Kang Sytwu, Ting-Fen Tsai:
Discovering a trans-omics biomarker signature that predisposes high risk diabetic patients to diabetic kidney disease. - Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez:
An interpretable RL framework for pre-deployment modeling in ICU hypotension management. - Chin Lin, Tom Chau, Chin-Sheng Lin, Hung-Sheng Shang, Wen-Hui Fang, Ding-Jie Lee, Chia-Cheng Lee, Shi-Hung Tsai, Chih-Hung Wang, Shih-Hua Lin:
Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction. - Vishwajith Ramesh, Erhan Bilal:
Detecting motor symptom fluctuations in Parkinson's disease with generative adversarial networks. - Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori:
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. - Makoto Mori, Sanket S. Dhruva, Arnar Geirsson, Harlan M. Krumholz:
Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform. - Sean W. Kelley, Caoimhe Ní Mhaonaigh, Louise Burke, Robert Whelan, Claire M. Gillan:
Machine learning of language use on Twitter reveals weak and non-specific predictions. - Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo:
Multimodal machine learning in precision health: A scoping review. - Ravi B. Parikh, Lorens Helmchen:
Paying for artificial intelligence in medicine. - Valeria de Angel, Serena Lewis, Katie M. White, Carolin Oetzmann, Daniel Leightley, Emanuela Oprea, Grace Lavelle, Faith Matcham, Alice Pace, David C. Mohr, Richard J. B. Dobson, Matthew Hotopf:
Digital health tools for the passive monitoring of depression: a systematic review of methods.
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