This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (353) New Methods (944) Artificial Intelligence (1371) Mental Health Issues in Adolescence (442) Machine Learning (1465)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51912, first published .
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

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

Authors of this article:

Desmond Caulley1 Author Orcid Image ;   Yared Alemu2, 3 Author Orcid Image ;   Sedara Burson2 Author Orcid Image ;   Elizabeth Cárdenas Bautista2, 3 Author Orcid Image ;   Girmaw Abebe Tadesse4 Author Orcid Image ;   Christopher Kottmyer1 Author Orcid Image ;   Laurent Aeschbach1 Author Orcid Image ;   Bryan Cheungvivatpant1 Author Orcid Image ;   Emre Sezgin5 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Desmond Caulley   1 * , PhD ;   Yared Alemu   2, 3 * , PhD ;   Sedara Burson   2 , LPC ;   Elizabeth Cárdenas Bautista   2, 3 , PhD ;   Girmaw Abebe Tadesse   4 , PhD ;   Christopher Kottmyer   1 , MS ;   Laurent Aeschbach   1 , MS ;   Bryan Cheungvivatpant   1 , MS ;   Emre Sezgin   5 , PhD

1 School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States

2 TQIntelligence, Inc, Atlanta, GA, United States

3 Department of Psychiatry and Behavioral Sciences, Computational Psych Program, Morehouse School of Medicine, Atlanta, GA, United States

4 Microsoft AI for Good Research Lab, Nairobi, Kenya

5 Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States

*these authors contributed equally

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