Generative AI for precision neuroimaging biomarker development in psychiatry.
Psychiatry Res
; 339: 115955, 2024 Sep.
Article
in En
| MEDLINE
| ID: mdl-38909415
ABSTRACT
The explosion of generative AI offers promise for neuroimaging biomarker development in psychiatry, but effective adoption of AI methods requires clarity with respect to specific applications and challenges. These center on dataset sizes required to robustly train AI models along with feature selection that capture neural signals relevant to symptom and treatment targets. Here we discuss areas where generative AI could improve quantification of robust and reproducible brain-to-symptom associations to inform precision psychiatry applications, especially in the context of drug discovery. Finally, this communication discusses some challenges that need solutions for generative AI models to advance neuroimaging biomarkers in psychiatry.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Psychiatry
/
Biomarkers
/
Neuroimaging
/
Mental Disorders
Limits:
Humans
Language:
En
Journal:
Psychiatry Res
Year:
2024
Document type:
Article
Country of publication: