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AbstractThe goal of this study was to develop a deep learning-based algorithm to predict temporomandibular joint (TMJ) disc perforation based on the findings of magnetic resonance imaging (MRI) and to validate its performance through comparison with previously reported results. The study objects were obtained by reviewing medical records from January 2005 to June 2018. 299 joints from 289 patients were divided into perforated and non-perforated groups based on the existence of disc perforationdoi:10.1038/s41598-021-86115-3 pmid:33758266 fatcat:f5wqh3gf3rh7plbph2myfdwt4a