Original Research J Clin Psychiatry May 2025

Detecting Tardive Dyskinesia Using Video-Based Artificial Intelligence

Full Article Read the complete peer-reviewed article in J Clin Psychiatry. Clinical Summary Patients taking antipsychotics need regular tardive dyskinesia monitoring, but in-person AIMS assessments are time-intensive and often inconsistently implemented, especially in telepsychiatry. This study tests whether smartphone video plus artificial intelligence can reliably flag suspected TD for clinician follow-up before symptoms become more disabling. FAQ How accurate was the video-based AI model at detecting suspected tardive dyskinesia? 9 questions
Key Takeaways Performance improved as training data accumulated across the 3 studies, with AUC rising from 0.77 (95% CI, 0.679–0.859) in the pilot dataset to 0.85 to 0.98 across available test sets when the model was trained on all available data. 6 takeaways Clinical Guide How can clinicians use smartphone video and AI to screen patients taking antipsychotics for suspected tardive dyskinesia remotely? 5 steps Clinical Guide What should clinicians do after a remote AI screen is positive or unusable for suspected tardive dyskinesia? 4 steps
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