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