A machine learning AI model for predicting condylar erosion in patients with temporomandibular joint disorders and analyzing factors contributing to prediction.
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| Title: | A machine learning AI model for predicting condylar erosion in patients with temporomandibular joint disorders and analyzing factors contributing to prediction. |
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| Authors: | Nozawa M; Department of Oral Radiology, Osaka Dental University, 1-5-17 Otemae, Chuo-ku, Osaka, Japan. illehan@dpc.agu.ac.jp.; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-Dori, Chikusa-ku, Nagoya, Japan. illehan@dpc.agu.ac.jp., Ariji Y; Department of Oral Radiology, Osaka Dental University, 1-5-17 Otemae, Chuo-ku, Osaka, Japan., Fukuda M; Department of Oral Radiology, Osaka Dental University, 1-5-17 Otemae, Chuo-ku, Osaka, Japan., Kotaki S; Department of Oral Radiology, Osaka Dental University, 1-5-17 Otemae, Chuo-ku, Osaka, Japan., Ariji E; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-Dori, Chikusa-ku, Nagoya, Japan. |
| Source: | Oral radiology [Oral Radiol] 2026 Jun 15. Date of Electronic Publication: 2026 Jun 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Tokyo Country of Publication: Japan NLM ID: 8806621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1613-9674 (Electronic) Linking ISSN: 09116028 NLM ISO Abbreviation: Oral Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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