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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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-12-01
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| Series: | NPP-Digital Psychiatry and Neuroscience |
| Online Access: | https://doi.org/10.1038/s44277-024-00022-9 |
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