Comparison of diagnoses made by dentistry students and by artificial intelligence dentists
AI exhibited better results than undergraduate students especially in the detection of caries and fillings. AI could improve undergraduates' accuracy in detecting caries, fillings, and extractions and help them make accurate treatment decisions. In cases where dentistry students are examining patients using panoramic radiographs, employing AI programs during their clinical training to confirm and strengthen the student's diagnosis may be a promising new development.
Authors
- Hüseyin Gürkan Güneç (ORCID: https://orcid.org/0000-0002-7056-7876)
- Neslihan Büşra Keskin (ORCID: https://orcid.org/0000-0002-1053-7675)
- Emine Şebnem Kurşun Çakmak (ORCID: https://orcid.org/0000-0002-7113-5450)
- Hasibe Sevilay Bahadır (ORCID: https://orcid.org/0000-0001-8577-4408)
- Kader Cesur Aydın (ORCID: https://orcid.org/0000-0002-6429-4197)
- S. Sarı (ORCID: https://orcid.org/0009-0008-3349-578X)
Institutions
- Istanbul Medipol University (TR)
- Sağlık Bilimleri Üniversitesi (TR)
- Ankara Yıldırım Beyazıt University (TR)
Publication Details
- Journal
- Journal of Dental Education
- Published
- 2024-12-21
- DOI
- https://doi.org/10.1002/jdd.13810
- Citations
- 5
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.47