FEP-10 - Artificial Intelligence - Pitfalls, Challenges and Solutions

Friday, April 19, 2024

10:15 AM – 11:45 AM PT

Location: 408 A

Earn 1.5 CE Credits

Speaker(s)

Frank Setzer, D.MD, PhD, M.S.

Associate Professor
University of Pennsylvania
Philadelphia, Pennsylvania

Disclosure(s): No financial relationships to disclose
Asma Khan, B.D.S., Ph.D. (she/her/hers)

Professor, Department of Endodontics
University of Texas at San Antonio
San Antonio, Texas

Disclosure(s): No financial relationships to disclose

Session Host(s)

Shreyas Oza, BDS DDS MSD

Endodontist
Endodontic Associates of Arlington
Dallas, Texas

Disclosure(s): No financial relationships to disclose

Artificial Intelligence (AI) applications have been emerging for the medical and dental fields. There are, however, challenges to be overcome before AI techniques can become mainstream use in dentistry. Aspects such as the black-box phenomenon, domain shift between different medical appliances in regard to biomedical image analysis, or data harvest from medical chart records in regard to healthcare information protection need further investigation and adaptation. Other problems and pitfalls to overcome include biases in the sample population or data acquisition techniques and narrow intelligence. This presentation addresses these issues from a perspective of the dental clinician to allow them to be prepared for the future changes in everyday practice we expect to occur with AI. It is also designed to prepare dental clinicians to engage actively in the development and regulation of novel AI applications.

Learning Objectives:

Discuss current pitfalls and obstacles that need to be overcome in dental AI applications.
Describe limitations of AI applications in Endodontics.
Actively engage in the development of novel AI applications.