U.S., April 2 -- ClinicalTrials.gov registry received information related to the study (NCT07505485) titled 'Artificial Intelligence-Based Assessment of Endosseous Lesions' on March 21.
Brief Summary: Despite these advances, CBCT interpretation remains largely qualitative and dependent on the clinician's experience. Conventional evaluation is based on two-dimensional slices and linear measurements, which may underestimate lesion complexity and spatial distribution.
Recent developments in Artificial Intelligence in Medicine have introduced automated image segmentation tools capable of identifying lesion boundaries and calculating volumetric data. These technologies allow a transition from subjective assessment to objective, reproducible qu...