Diagnostic competence of senior dental students in detecting caries on panoramic radiographs with and without artificial intelligence assistance: a cross-sectional studycaries detection on panoramic radiographs.

ABSTRACT:

Purpose

Accurate detection of proximal dental caries on panoramic radiographs is essential for effective treatment planning and preventive care. While senior dental students gradually develop interpretative competence during their training, artificial intelligence (AI) systems have emerged as promising adjuncts to enhance diagnostic performance. This study aimed to compare the diagnostic competence of fourth- and fifth-year dental students in detecting proximal carious lesions on panoramic radiographs, with and without AI assistance. It was hypothesized that AI-assisted evaluation would significantly improve diagnostic accuracy compared to unaided interpretation.

Methods

A total of 132 dental students (66 fourth-year and 66 fifth-year) from Biruni University participated in

SUBMITTER: Batgerel OE 

PROVIDER: S-EPMC12661667 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature