Objectively Quantifying Pediatric Psychiatric Severity Using Artificial Intelligence, Voice Recognition Technology, and Universal Emotions: Pilot Study for Artificial Intelligence-Enabled Innovation to Address Youth Mental Health Crisis

BACKGROUND: Providing Psychotherapy, particularly for youth, is a pressing challenge in the health care system. Traditional methods are resource-intensive, and there is a need for objective benchmarks to guide therapeutic interventions. Automated emotion detection from speech, using artificial intel...

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Detalles Bibliográficos
Autores principales: Caulley, Desmond, Alemu, Yared, Burson, Sedara, Cárdenas Bautista, Elizabeth, Abebe Tadesse, Girmaw, Kottmyer, Christopher, Aeschbach, Laurent, Cheungvivatpant, Bryan, Sezgin, Emre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628686/
https://www.ncbi.nlm.nih.gov/pubmed/37870890
http://dx.doi.org/10.2196/51912

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628686/
https://www.ncbi.nlm.nih.gov/pubmed/37870890
http://dx.doi.org/10.2196/51912

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