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

Diagnostic Tools in Mental Health (347) Decision Support for Health Professionals (1686) Machine Learning (2297) Computer-Aided Diagnosis (285) Applications of AI (377)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92197, first published .
Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician’s Tardive Inventory: Validation Study

Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician’s Tardive Inventory: Validation Study

Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician’s Tardive Inventory: Validation Study

Authors of this article:

Richard Trosch1 Author Orcid Image ;   Anthony Sterns2 Author Orcid Image ;   Bradley Grimm3 Author Orcid Image ;   Loren Larsen3 Author Orcid Image ;   Bretton Talbot3 Author Orcid Image ;   Fred Ma4 Author Orcid Image ;   Rakesh Ranjan5 Author Orcid Image ;   Carlene MacMillan6 Author Orcid Image ;   Joel Hughes7 Author Orcid Image ;   Joseph Friedman8 Author Orcid Image ;   Owen Muir4 Author Orcid Image
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