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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Détails bibliographiques
Auteurs principaux: 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
Format: Article
Langue:English
Publié: Springer 2024-12-01
Collection:NPP-Digital Psychiatry and Neuroscience
Accès en ligne:https://doi.org/10.1038/s44277-024-00022-9