A. T. Still University 1 article published in JoVE Medicine Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images Ju-Heon Lee*1, Nam-Ki Lee*1, Bingshuang Zou2, Jae Hyun Park3,4, Tae-Hyun Choi1 1Department of Orthodontics, Seoul National University Bundang Hospital, 2Division of Orthodontics, Faculty of Dentistry, University of British Columbia, 3Postgraduate Orthodontic Program, Arizona School of Dentistry & Oral Health, A. T. Still University, 4Graduate School of Dentistry, Kyung Hee University A process of registering cone-beam computed tomography scans and digital dental images has been presented using artificial intelligence (AI) -assisted identification of landmarks and merging. A comparison with surface-based registration shows that AI-based digitization and integration are reliable and reproducible.
