DT-13 Smarter Radiographs: AI Applications in 2D and 3D Endodontic Imaging
CE Hours: 1.25
Description:
Learning Objectives:
- Describe how AI algorithms analyze 2D and 3D endodontic radiographs to assist in diagnosis.
- Identify clinical applications of AI in endodontic imaging, including lesion detection, root morphology assessment, and canal classification.
- Recognize the benefits and limitations of integrating AI into endodontic radiographic interpretation.
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LockedOmid Dianat, DDS, MS, MDS
Dr. Omid Dianat is a board-certified endodontist who received his second Certificate in Endodontics and Master of Science in Biomedical Sciences from the University of Maryland School of Dentistry in 2020. He earned his DDS with honors from Shahid Beheshti University of Medical Sciences in Tehran and completed his first endodontic specialty training at Isfahan University of Medical Sciences. Dr. Dianat has authored more than 85 publications in PubMed-indexed journals. His research interests include endodontic pain mechanisms, advanced technologies, dynamic navigation, and artificial intelligence in endodontics. He practices at Irvine Endodontics in Irvine, California, and serves as Dean's Faculty at the University of Maryland School of Dentist
Disclosure(s): No financial relationships to disclose