Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists.

Journal: Oral radiology
PMID:

Abstract

OBJECTIVES: This study intended to evaluate patients' attitudes toward the use of AI in dental radiographic detection of occlusal caries and the impact of AI-based diagnosis on their trust in dentists.

Authors

  • Hasibe Sevilay Bahadir
    Faculty of Dentistry, Department of Restorative Dentistry, Ankara Yıldırım Beyazıt University, Ankara, Turkey. sevilay.bahadir@hotmail.com.
  • Neslihan Büşra Keskin
    Faculty of Dentistry, Department of Endodontics, Ankara Yıldırım Beyazıt University, Ankara, Turkey.
  • Emine Şebnem Kurşun Çakmak
    Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Ankara Yıldırım Beyazıt University, Ankara, Turkey.
  • Gürkan Güneç
    Department of Endodontics, Health Sciences University Hamidiye Faculty of Dentistry, Istanbul, Turkey.
  • Kader Cesur Aydin
    School of Dentistry, Head of Department Dentomaxillofacial Radiology, Istanbul Medipol University, Ataturk Bulvarı No: 27 Unkapanı, Istanbul, 34083, Turkey. kadercesur@yahoo.com.
  • Fatih Peker
    Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Ankara Yıldırım Beyazıt University, Ankara, Turkey.