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"DCTclock: Clinically-Interpretable and Automated Artificial Intelligence ..."

William Souillard-Mandar et al. (2021)

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DOI: 10.3389/FDGTH.2021.750661

access: open

type: Journal Article

metadata version: 2021-11-09

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William Souillard-Mandar, Dana L. Penney, Braydon Schaible, Alvaro Pascual-Leone, Rhoda Au, Randall Davis:
DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition. Frontiers Digit. Health 3: 750661 (2021)

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