Testing domain knowledge and risk of bias of a large-scale general artificial intelligence model in mental health

BACKGROUND: With a rapidly expanding gap between the need for and availability of mental health care, artificial intelligence (AI) presents a promising, scalable solution to mental health assessment and treatment. Given the novelty and inscrutable nature of such systems, exploratory measures aimed a...

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Detalles Bibliográficos
Autores principales: Heinz, Michael V., Bhattacharya, Sukanya, Trudeau, Brianna, Quist, Rachel, Song, Seo Ho, Lee, Camilla M., Jacobson, Nicholas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123874/
https://www.ncbi.nlm.nih.gov/pubmed/37101589
http://dx.doi.org/10.1177/20552076231170499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123874/
https://www.ncbi.nlm.nih.gov/pubmed/37101589
http://dx.doi.org/10.1177/20552076231170499

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