The goal of this observational study is to evaluate the diagnostic accuracy of different deep learning models in detecting dental caries from intra oral images taken by a professional intra oral camera in children. The main question it aims to answer is:

What is the diagnostic accuracy of different deep learning models in detecting dental caries from intra oral images taken by a professional intra oral camera in children compared to the conventional clinical visual examination?

Inclusion Criteria:

• Child dentition having at least one decayed tooth.

Exclusion Criteria:

• Child dentition with developmental enamel defects.
• Children with any systemic medical condition.
• Parent / child refuse to participate in the study.
• Uncooperative child.

Any child with at least one decayed tooth present at the time of recruitment at the Pediatric dental department diagnostic center, Faculty of Dentistry, Cairo University.