Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental ImagesJu-Heon Lee *1, Nam-Ki Lee *1, Bingshuang Zou 2, Jae Hyun Park 3,4, Tae-Hyun Choi 1
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.
