U.S., June 11 -- ClinicalTrials.gov registry received information related to the study (NCT07639749) titled 'Artificial Intelligence Versus Clinical Examination in White Spot Lesions Detection, Identification, And Scoring' on June 02.

Brief Summary: The goal of this observational study is to compare the diagnostic accuracy of Clinical examination as a standard for detection, identification and scoring of White Spot Lesions Versus Artificial intelligence analysis of intraoral photographs. The photographs are examined by experienced dental professionals to maintain diagnostic accuracy. Machine learning models YOLO and Mask-RCNN will analyze these images in three phases: pre-analytical, analytical and post-analytical. A dataset of 329 labelle...