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

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

BackgroundProviding 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,...

Full description

Bibliographic Details
Main Authors: Desmond Caulley, Yared Alemu, Sedara Burson, Elizabeth Cárdenas Bautista, Girmaw Abebe Tadesse, Christopher Kottmyer, Laurent Aeschbach, Bryan Cheungvivatpant, Emre Sezgin
Format: Article
Language:English
Published: JMIR Publications 2023-10-01
Series:JMIR Research Protocols
Online Access:https://www.researchprotocols.org/2023/1/e51912

Internet

https://www.researchprotocols.org/2023/1/e51912

Similar Items