Detection of Proximal Caries in Bitewing Radiography Using Artificial Intelligence

Using a sequence of bitewing radiographs, Artificial intelligence assists in identifying interproximal caries. For the identification of dental caries in bitewing, periapical, and panoramic radiographs, a trained deep learning network will be created This study aimed to investigate the reliability of a novel Artificial Intelligence model based on deep learning in the detection of Proximal Caries using Digital Bitewing Radiographs. (BW).

NCT Number	NCT07404007
Lead Sponsor	Cairo University Collaborators: Ain Shams University
Conditions	Proximal Caries, Tooth Caries
Enrollment	2,000 participants
Start Date	2023-01-15
Primary Completion	2025-09-15 (estimated)
Study Completion	2025-12-01 (estimated)
Updated on ClinicalTrials.gov	2026-02-11