Practical Application of Artificial Intelligence Algorithms
Speaker
Brandon Veremis, DDS is a board-certified oral and maxillofacial pathologist and holds appointments as an Associate Professor at the Icahn School of Medicine at Mount Sinai as well as an Adjunct Assistant Professor at the University of Michigan School of Dentistry. His research foci include the use of artificial intelligence techniques in the context of cancer research, improving pathologic diagnosis, and understanding how students learn oral pathology in dental school. Dr. Veremis also serves on the Oral Pathology Biopsy Service and the Head and Neck Pathology Service at Mount Sinai.
Disclosure: Dr. Veremis has salary support from PreciseDx, a private AI company that markets a clinical/pathologic test that provides a risk score for breast cancer recurrence.
Course Description
This presentation will provide the learner with an overview of the current state of artificial intelligence (AI) in dental clinical practice as well as examples of potential future use cases of AI. Examples that will be discussed will be the use of AI in radiographic evaluation, cancer detection and prognosis, basic research methods, and how these algorithms could be used by enterprise payors in determining payment for services in dentistry. Learners will also be given a checklist for how to evaluate the effectiveness and ethicality of these AI tools through evidence-based literature evaluation and will have the opportunity to apply this knowledge during the session.
Educational Objectives
- Be able to assess the quality of an AI-related publication
- Provide an overview of current AI algorithms
- Identify ways to mitigate potential ethical concerns with the use and creation of AI algorithms