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A. T. Still University

1 ARTICLES PUBLISHED IN JoVE

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Medicine

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Ju-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.

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