Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning. - Ryan Poplin; Avinash V. Varadarajan; Katy Blumer; Yun Liu 013; Michael V. McConnell; Gregory S. Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Finger-Wearable Blood Pressure Monitor. - Ravi Narasimhan; Tushar Parlikar; George Verghese; Michael V. McConnell (EMBC, 2018)

CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis. - Marcus A. Badgeley; Manway Liu; Benjamin S. Glicksberg; Mark M. Shervey; John R. Zech; Khader Shameer; Joseph Lehar; Eric K. Oermann; Michael V. McConnell; Thomas M. Snyder; Joel T. Dudley (Bioinform., 2019)

Deep learning predicts hip fracture using confounding patient and healthcare variables. - Marcus A. Badgeley; John R. Zech; Luke Oakden-Rayner; Benjamin S. Glicksberg; Manway Liu; William Gale; Michael V. McConnell; Bethany Percha; Thomas M. Snyder; Joel T. Dudley (npj Digit. Medicine, 2019)

Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state. - Matthew Abueg; Robert Hinch; Neo Wu; Luyang Liu; William J. M. Probert; Austin Wu; Paul Eastham; Yusef Shafi; Matt Rosencrantz; Michael Dikovsky; Zhao Cheng; Anel Nurtay; et al. (npj Digit. Medicine, 2021)

Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction. - Morteza Naghavi; Anthony P. Reeves; Kyle Atlas; Chenyu Zhang; Thomas Atlas; Claudia I. Henschke; David F. Yankelevitz; Matthew J. Budoff; Dong Li; Sion K. Roy; Khurram Nasir; Sabee Molloi; et al. (npj Digit. Medicine, 2024)