DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition

DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition

<jats:p>Developing tools for efficiently measuring cognitive change specifically and brain health generally—whether for clinical use or as endpoints in clinical trials—is a major challenge, particularly for conditions such as Alzheimer's disease. Technology such as connected devices and a...

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Detaylı Bibliyografya
Asıl Yazarlar: Souillard-Mandar, William, Penney, Dana, Schaible, Braydon, Pascual-Leone, Alvaro, Au, Rhoda, Davis, Randall
Diğer Yazarlar: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Frontiers Media SA 2022
Online Erişim:https://hdl.handle.net/1721.1/143116

Internet

https://hdl.handle.net/1721.1/143116

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