Performance of large language models on undergraduate endodontic multiple-choice questions.

Sümbüllü M., Ünal O., Menteş İ., Kayahan M. E.

BMC oral health, cilt.26, sa.1, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1186/s12903-026-09174-w
  • Dergi Adı: BMC oral health
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CINAHL, EMBASE, MEDLINE, Directory of Open Access Journals, Natural Science Collection (ProQuest), Biological Science Database (ProQuest), Biomedical Reference Collection: Corporate Edition (EBSCO), Health Research Premium Collection (ProQuest)
  • Anahtar Kelimeler: Accuracy, Artificial intelligence, ChatGPT, Consistency, DeepSeek, Education, Endodontics, Gemini, Large language models
  • Atatürk Üniversitesi Adresli: Evet