Can Deep Learning Methods Differentiate Temporomandibular Joint Disorders From Healthy Joints? A 3D Artificial Intelligence Algorithm Study Based on CBCT Images.

Bayrakdar İ. Ş., Kurt-Bayrakdar S., Kuran A., Çelik Ö., Orhan K., Jagtap R.

Journal of oral rehabilitation, cilt.53, sa.10, ss.1932-1942, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 53 Sayı: 10
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1111/joor.70247
  • Dergi Adı: Journal of oral rehabilitation
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CINAHL, EMBASE, MEDLINE, Academic Search Ultimate (EBSCO), Biomedical Reference Collection: Corporate Edition (EBSCO), Health Research Premium Collection (ProQuest)
  • Sayfa Sayıları: ss.1932-1942
  • Anahtar Kelimeler: artificial intelligence, cone beam computed tomography, deep learning, temporomandibular disorders, temporomandibular joint
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet