Sports related concussion: an emerging era in digital sports technology

par Dylan Powell, Sam Stuart, Alan Godfrey
Publié 2021

What do medical students actually need to know about artificial intelligence?

par Liam G. McCoy, Sujay Nagaraj, Felipe Morgado, Vinyas Harish, Sunit Das, Leo Anthony Celi
Publié 2020

Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning

par Yechan Mun, Inyoung Paik, Su-Jin Shin, Tae-Yeong Kwak, Hyeyoon Chang
Publié 2021

“Yes, but will it work for my patients?” Driving clinically relevant research with benchmark datasets

par Trishan Panch, Tom J. Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi
Publié 2020

Assessing the accuracy of automatic speech recognition for psychotherapy

par Adam S. Miner, Albert Haque, Jason A. Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson, Arnold Milstein, Dan Jurafsky, Bruce A. Arnow, W. Stewart Agras, Li Fei-Fei, Nigam H. Shah
Publié 2020

The Project Baseline Health Study: a step towards a broader mission to map human health

par Kristine Arges, Themistocles Assimes, Vikram Bajaj, Suresh Balu, Mustafa R. Bashir, Laura Beskow, Rosalia Blanco, Robert Califf, Paul Campbell, Larry Carin, Victoria Christian, Scott Cousins, Millie Das, Marie Dockery, Pamela S. Douglas, Ashley Dunham, Julie Eckstrand, Dominik Fleischmann, Emily Ford, Elizabeth Fraulo, John French, Sanjiv S. Gambhir, Geoffrey S. Ginsburg, Robert C. Green, Francois Haddad, Adrian Hernandez, John Hernandez, Erich S. Huang, Glenn Jaffe, Daniel King, Lynne H. Koweek, Curtis Langlotz, Yaping J. Liao, Kenneth W. Mahaffey, Kelly Marcom, William J. Marks, David Maron, Reid McCabe, Shannon McCall, Rebecca McCue, Jessica Mega, David Miller, Lawrence H. Muhlbaier, Rajan Munshi, L. Kristin Newby, Ezra Pak-Harvey, Bray Patrick-Lake, Michael Pencina, Eric D. Peterson, Fatima Rodriguez, Scarlet Shore, Svati Shah, Steven Shipes, George Sledge, Susie Spielman, Ryan Spitler, Terry Schaack, Geeta Swamy, Martin J. Willemink, Charlene A. Wong
Publié 2020

Virtual care models for cancer survivorship

par Quynh Pham, Jason Hearn, Bruce Gao, Ian Brown, Robert J. Hamilton, Alejandro Berlin, Joseph A. Cafazzo, Andrew Feifer
Publié 2020

Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”

par Supreeth P. Shashikumar, Gabriel Wardi, Atul Malhotra, Shamim Nemati
Publié 2021

CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV

par Pranav Rajpurkar, Chloe O’Connell, Amit Schechter, Nishit Asnani, Jason Li, Amirhossein Kiani, Robyn L. Ball, Marc Mendelson, Gary Maartens, Daniël J. van Hoving, Rulan Griesel, Andrew Y. Ng, Tom H. Boyles, Matthew P. Lungren
Publié 2020

A simulation-based evaluation of machine learning models for clinical decision support: application and analysis using hospital readmission

par Velibor V. Mišić, Kumar Rajaram, Eilon Gabel
Publié 2021

Patient-specific COVID-19 resource utilization prediction using fusion AI model

par Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
Publié 2021

Learning endometriosis phenotypes from patient-generated data

par Iñigo Urteaga, Mollie McKillop, Noémie Elhadad
Publié 2020

Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research

par Benjamin W. Nelson, Carissa A. Low, Nicholas Jacobson, Patricia Areán, John Torous, Nicholas B. Allen
Publié 2020

Social license for the use of big data in the COVID-19 era

par James A. Shaw, Nayha Sethi, Christine K. Cassel
Publié 2020

Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine

par Dae Y. Kang, Pamela N. DeYoung, Justin Tantiongloc, Todd P. Coleman, Robert L. Owens
Publié 2021

Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes

par Jinghui Liu, Daniel Capurro, Anthony Nguyen, Karin Verspoor
Publié 2021

Empowering clinical research in a decentralized world

par Walter De Brouwer, Chirag J. Patel, Arjun K. Manrai, Isaac R. Rodriguez-Chavez, Nirav R. Shah
Publié 2021

Author Correction: A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety

par Derek Richards, Angel Enrique, Nora Eilert, Matthew Franklin, Jorge Palacios, Daniel Duffy, Caroline Earley, Judith Chapman, Grace Jell, Sarah Sollesse, Ladislav Timulak
Publié 2020

Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic

par Emre Sezgin, Yungui Huang, Ujjwal Ramtekkar, Simon Lin
Publié 2020

The future of digital health with federated learning

par Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
Publié 2020