Digital advantage in the COVID-19 response: perspective from Canada’s largest integrated digitalized healthcare system

por Daniel C. Baumgart
Publicado 2020

The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia

por Tsegahun Manyazewal, Yimtubezinash Woldeamanuel, Henry M. Blumberg, Abebaw Fekadu, Vincent C. Marconi
Publicado 2021

Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer’s disease

por Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian
Publicado 2021

Implementation of a multisite, interdisciplinary remote patient monitoring program for ambulatory management of patients with COVID-19

por Jordan D. Coffey, Laura A. Christopherson, Amy E. Glasgow, Kristina K. Pearson, Julie K. Brown, Shelby R. Gathje, Lindsey R. Sangaralingham, Eva M. Carmona Porquera, Abinash Virk, Robert Orenstein, Leigh L. Speicher, Dennis M. Bierle, Ravindra Ganesh, Debra L. Cox, R. Nicole Blegen, Tufia C. Haddad
Publicado 2021

Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

por Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Ármin Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, E. Ray Dorsey, Zafer Aydın, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, the Parkinson’s Disease Digital Biomarker Challenge Consortium, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg
Publicado 2021

Digitizing clinical trials

por O. T. Inan, P. Tenaerts, S. A. Prindiville, H. R. Reynolds, D. S. Dizon, K. Cooper-Arnold, M. Turakhia, M. J. Pletcher, K. L. Preston, H. M. Krumholz, B. M. Marlin, K. D. Mandl, P. Klasnja, B. Spring, E. Iturriaga, R. Campo, P. Desvigne-Nickens, Y. Rosenberg, S. R. Steinhubl, R. M. Califf
Publicado 2020

Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

por Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
Publicado 2020

Actionable health app evaluation: translating expert frameworks into objective metrics

por Sarah Lagan, Patrick Aquino, Margaret R. Emerson, Karen Fortuna, Robert Walker, John Torous
Publicado 2020

Ushering in safe, effective, secure, and ethical medicine in the digital era

por William J. Gordon, Andrea R. Coravos, Ariel D. Stern
Publicado 2021

Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age

por David C. Mohr, Katie Shilton, Matthew Hotopf
Publicado 2020

Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

por Christine M. Cutillo, Karlie R. Sharma, Luca Foschini, Shinjini Kundu, Maxine Mackintosh, Kenneth D. Mandl, MI in Healthcare Workshop Working Group
Publicado 2020

Deviations from normal bedtimes are associated with short-term increases in resting heart rate

por Louis Faust, Keith Feldman, Stephen M. Mattingly, David Hachen, Nitesh V. Chawla
Publicado 2020

Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy

por Michelle Y. T. Yip, Gilbert Lim, Zhan Wei Lim, Quang D. Nguyen, Crystal C. Y. Chong, Marco Yu, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Haslina Hamzah, Jinyi Ho, Tien-En Tan, Charumathi Sabanayagam, Andrzej Grzybowski, Gavin S. W. Tan, Wynne Hsu, Mong Li Lee, Tien Yin Wong, Daniel S. W. Ting
Publicado 2020

The future of sleep health: a data-driven revolution in sleep science and medicine

por Ignacio Perez-Pozuelo, Bing Zhai, Joao Palotti, Raghvendra Mall, Michaël Aupetit, Juan M. Garcia-Gomez, Shahrad Taheri, Yu Guan, Luis Fernandez-Luque
Publicado 2020

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

por Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
Publicado 2020

Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health

por Chang Su, Yongkang Zhang, James H. Flory, Mark G. Weiner, Rainu Kaushal, Edward J. Schenck, Fei Wang
Publicado 2021

Methods in predictive techniques for mental health status on social media: a critical review

por Stevie Chancellor, Munmun De Choudhury
Publicado 2020

Out-of-clinic measurement of sweat chloride using a wearable sensor during low-intensity exercise

por Dong-Hoon Choi, Grant B. Kitchen, Mark T. Jennings, Garry R. Cutting, Peter C. Searson
Publicado 2020

Author Correction: A novel digital approach to describe real world outcomes among patients with constipation

por Allison Shapiro, Benjamin Bradshaw, Sabine Landes, Petra Kammann, Beatrice Bois De Fer, Wei-Nchih Lee, Robert Lange
Publicado 2021

Individual-patient prediction of meningioma malignancy and survival using the Surveillance, Epidemiology, and End Results database

por Jeremy T. Moreau, Todd C. Hankinson, Sylvain Baillet, Roy W. R. Dudley
Publicado 2020