AI analysis of CBCT scans leverages advanced machine learning techniques to extract meaningful information from medical images, in as quick as 10 seconds for 2D images, and four to six minutes for CBCT scans.
It detects over 65 conditions including periapical lesions, periodontal bone loss, caries decay, missing teeth, impacted teeth, and endodontic treatment failures, with an impressive periapical lesion detection success rate of 90%. Further advancements are still required for the detection of oral and maxillofacial fractures, dental trauma and tooth development disorders.
The AI software automatically produces a patented, panoramic reformation of the CBCT. The intuitive interface aids clinicians in navigating through the entire scan, pinpointing previously treated teeth, and identifying newly discovered pathologies. After the clinician assesses the AI’s suggestions, they can select to accept or reject them, and supplement with additional comments and images if desired.
The AI then generates the CBCT report with a diagrammatical review of its findings in a simple, comprehensive manner. This can then efficiently be printed in office or emailed as a PDF to the patient or referring clinician.