What patients and caregivers want to know when consenting to the use of digital behavioral markers

Abstract Artificial intelligence (AI)-based computational tools for deriving digital behavioral markers are increasingly able to automatically detect clinically relevant patterns in mood and behavior through algorithmic analysis of continuously and passively collected data. The integration of these...

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Detalhes bibliográficos
Main Authors: Anika Sonig, Christine Deeney, Meghan E. Hurley, Eric A. Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J. Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet
Formato: Artigo
Idioma:English
Publicado em: Springer 2024-12-01
Colecção:NPP-Digital Psychiatry and Neuroscience
Acesso em linha:https://doi.org/10.1038/s44277-024-00022-9