Clinical Assistant Professor University of Washington Seattle, Washington
Participants should be aware of the following financial/non-financial relationships:
Asma Khan, B.D.S., PhD: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Frank Setzer, DMD, PhD, MS: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Derrick I. Wang, DMD: Disclosure information not submitted.
Artificial Intelligence (AI) – powered technologies are rapidly transforming health care in a fundamental manner. Despite the expeditiously increasing application of AI in other fields of health care, dentistry has not fully benefited from this revolutionary technology. This lecture will review the current state of the application of AI technologies in dentistry and discuss its early adoptions in Endodontics, especially in regard to cone-beam CT (CBCT) imaging. CBCT has become a widely used modality for diagnosis and treatment planning in Endodontics. However, just as periapical imaging, clinician-based interpretation of CBCT demonstrates low inter- and intra-observer agreement. Research strategies and clinical applications discussed will include the use of AI for the detection of periapical lesions, and tooth cracks and fractures.
Explain the utilization of artificial intelligence in medical image analysis.
Describe the potential of artificial intelligence in aiding in the detection of periapical lesions, and tooth cracks and fractures.
Explain the benefits of computer-assisted CBCT evaluation from a medico-legal perspective.