Evaluating the Accuracy of an Artificial Intelligence-Based Application for Diagnosing Temporomandibular Disorders

Background Temporomandibular disorders (TMD) present a diagnostic challenge, particularly for non-specialists, due to the complexity and variability of symptoms. This study evaluates the diagnostic accuracy of the AI-driven myTMJ© application (myTMJ©) by comparing its outputs to clinical diagnoses m...

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Bibliographic Details
Main Authors: Haeseong Lee, Salma Awwad, Areeg Elmusrati, Chinmayee Patil, Sang Chung, Anette Vistoso, Amila Adili, Parish Sedghizadeh
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Journal of the California Dental Association
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Online Access:https://www.tandfonline.com/doi/10.1080/19424396.2025.2533208
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