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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

Richard Trosch   1 * , MD ;   Anthony Sterns   2 * , BSE, MA, PhD ;   Bradley Grimm   3 * , MS ;   Loren Larsen   3 * , MS ;   Bretton Talbot   3 , PhD ;   Fred Ma   4 , MD, PhD ;   Rakesh Ranjan   5 , MD ;   Carlene MacMillan   6 , MD ;   Joel Hughes   7 , PhD ;   Joseph Friedman   8 , MD ;   Owen Muir   4 , MD

1 William Beaumont School of Medicine, Oakland University, Farmington, MI, United States

2 Scripps Gerontology Center, Miami University, Oxford, OH, United States

3 Videra Health, Orem, UT, United States

4 iRxReminder, Cleveland, OH, United States

5 Charak Health and Wellness Center, Cleveland, OH, United States

6 Radial Health, Brooklyn, NY, United States

7 Department of Psychological Sciences, Kent State University, Kent, OH, United States

8 Butler Hospital, Providence, RI, United States

*these authors contributed equally

Corresponding Author:

  • Anthony Sterns, BSE, MA, PhD
  • Scripps Gerontology Center
  • Miami University
  • 100 Bishop Circle
  • Oxford, OH 45056
  • United States
  • Phone: 1 3306066675
  • Email: sternsa3@miamioh.edu