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Frontiers in Digital Health|November 1, 2021
DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing CognitionWilliam Souillard-Mandar, Dana Penney, Braydon Schaible, et al.Machine Learning|April 9, 2016
Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing TestWilliam Souillard-Mandar, Randall Davis, Cynthia Rudin, et al.Neurology|February 16, 2021
Association of Digital Clock Drawing With PET Amyloid and Tau Pathology in Normal Older AdultsDorene M Rentz, Kathryn V Papp, Danielle V Mayblyum, et al.Frontiers in Digital Health|December 6, 2021
Aging in the Digital Age: Using Technology to Increase the Reach of the Clinician Expert and Close the Gap Between Health Span and Life SpanJoyce Gomes-Osman, Javier Solana-Sánchéz, Emily Rogers, et al.JMIR Research Protocols|August 10, 2022
Description of the Method for Evaluating Digital Endpoints in Alzheimer Disease Study: Protocol for an Exploratory, Cross-sectional StudyJelena Curcic, Vanessa Vallejo, Jennifer Sorinas, et al.Pageof 1