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Student Performance in Bitewing Caries Detection: Artificial Intelligence Versus Alternative E-learning.

Valéria Nagyová1, Dominik Blaňár2, Jan Kybic2

  • 1Institute of Dental Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.

International Dental Journal
|May 1, 2026
PubMed
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This summary is machine-generated.

Dental students improved caries detection skills using AI, lectures, or annotated datasets. Artificial intelligence (AI) tools offer comparable learning outcomes to other e-learning methods for dental education.

Area of Science:

  • Dentistry
  • Medical Education
  • Artificial Intelligence

Background:

  • Caries detection in bitewing radiographs is a crucial skill for dentists.
  • Traditional teaching methods for caries detection may be enhanced by modern e-learning approaches.

Purpose of the Study:

  • To compare the effectiveness of three distinct teaching methods for caries detection in bitewing radiographs.
  • To evaluate the impact of a prerecorded lecture, a preannotated dataset, and an AI-based web application on dental students' diagnostic accuracy.

Main Methods:

  • Fifty-two dental students annotated carious lesions in bitewing radiographs before and after training.
  • Students were divided into three groups: Lecture, Dataset, and AI-based web application.
  • Annotation performance was assessed against a reference standard and stratified by the students' stage of study.
Keywords:
Artificial intelligenceBitewingCariesConvolutional neural networkDental students

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Main Results:

  • All training methods led to significant improvements in error reduction, annotation overlap, and accuracy.
  • The AI and Dataset groups showed significant increases in sensitivity, while the Lecture group improved specificity.
  • The effectiveness of training decreased with increased clinical experience.

Conclusions:

  • The AI-based web application and other e-learning methods provide comparable improvements in caries detection training.
  • AI tools can be valuable educational resources for dental students, particularly those with less clinical experience.
  • Optimizing AI-assisted education is essential for enhancing learning outcomes in dental training programs.