Artificial intelligence-enhanced diagnosis of degenerative joint disease using temporomandibular joint panoramic radiography and joint noise data

Artificial intelligence-enhanced diagnosis of degenerative joint disease using temporomandibular joint panoramic radiography and joint noise data

Abstract This study aimed to develop an artificial intelligence (AI) model for the screening of degenerative joint disease (DJD) using temporomandibular joint (TMJ) panoramic radiography and joint noise data. A total of 2631 TMJ panoramic images were collected, resulting in a final dataset of 3908 i...

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Bibliographic Details
Main Authors: Eunhye Choi, Seokwon Shin, Kijin Lee, Taejin An, Richard K. Lee, Sunmin Kim, Youngdoo Son, Seong Teak Kim
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Temporomandibular joint
Degenerative joint disease
Artificial intelligence
Temporomandibular joint panoramic radiography
Joint noise
Online Access:https://doi.org/10.1038/s41598-024-83750-4
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https://doi.org/10.1038/s41598-024-83750-4

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