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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (392) New Methods (1134) Artificial Intelligence (2127) Mental Health Issues in Adolescence (636) Machine Learning (2074)

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 (9) Tweetations (4) Metrics

Journals

  1. Zahavi I, Ben Shitrit I, Einav S. Using augmented intelligence to improve long term outcomes. Current Opinion in Critical Care 2024;30(5):523 View
  2. Kerth J, Hagemeister M, Bischops A, Reinhart L, Dukart J, Heinrichs B, Eickhoff S, Meissner T. Artificial intelligence in the care of children and adolescents with chronic diseases: a systematic review. European Journal of Pediatrics 2024;184(1) View
  3. Stevenson T, Rees C, Hodder S. The Acoustic Profiles of Emotion: Analyzing the Spoken Voice in Theater Performance. Voice and Speech Review 2025:1 View
  4. Languré A, Zareei M. Privacy-Preserving Emotion Detection: Evaluating the Trade-Off Between K-Anonymity and Model Performance. IEEE Access 2025;13:105901 View
  5. Fan S, Song Y. Impact of inspirational film appreciation courses on college students by voice interaction system and artificial intelligence. Computer Science and Information Systems 2025;22(3):1299 View
  6. Jacob J, Rao A. A comprehensive review of mental health assessment techniques through voice analysis. Intelligent Buildings International 2025:1 View
  7. Figueiredo A, Pereira A, Frias F, Rodrigues L, Diogo P. Applications of artificial intelligence in emotion recognition in pediatrics health care: Scoping review. Journal of Pediatric Nursing 2025;85:593 View

Conference Proceedings

  1. Liu X, Xu X, Yao W, Tian J. Proceeding of the 2024 International Conference on Artificial Intelligence and Future Education. The Impact of AI-Based Emotion Regulation on Adolescent Internalizing Problems: Parallel Mediation Effects of Psychological Capital and Deviant Peer Association View
  2. Vardhan K, Kamalakannan M, Yadav K, Vardhan G, Anuradha K. 16TH INTERNATIONAL CONFERENCE ON MATERIALS PROCESSING AND CHARACTERIZATION 2024. Enhancing communication through AI-driven speaker diarization and sentiment analysis View