(6152) Promises and Challenges of Artificial Intelligence Applications in Dentistry

Friday, October 6, 2023

1:00 PM – 4:00 PM ET

Location: S310G

CE: 3

Audience: D, S, T

Moderator(s)

Robert A. Faiella, DMD, MBA, MMSc

Past President
American Dental Association
Osterville, Massachusetts, United States

Co-Presenter(s)

Gregory G. Zeller, DDS, MS

Professor Emeritus, Oral Health Practice
University of Kentucky College of Dentistry, Lexington, KY
Lutherville, Maryland, United States
Aruna Ramesh, DMD (she/her/hers)

Associate Dean, Academic Affairs
Tufts University School of Dental Medicine
MA, Massachusetts, United States
Christopher Balaban, DMD, MSc

VP, Clinical Affairs
Overjet
Fort Myers, Florida, United States
Cindy V. Roark, DMD

Senior Vice President and Chief Clinical Officer
Sage Dental Management
Spring Hill, Florida, United States
Chris Salierno, DDS

Owner
Curious Consulting LLC
Centerport, New York, United States
Sree Koka, DDS, MS, PHD, MBA

Dean
University of Mississippi Medical Center
Ridgeland, Mississippi, United States
Sergei Azernikov, PhD

VP of CAD/CAM | AI/ML
Glidewell
Irvine, California, United States

Disclosure(s):

Robert A. Faiella, DMD, MBA, MMSc: No financial relationships to disclose

Gregory G. Zeller, DDS, MS: No financial relationships to disclose

Aruna Ramesh, DMD: No financial relationships to disclose

Christopher Balaban, DMD, MSc: Overjet: Employee (Ongoing)

Cindy V. Roark, DMD: No financial relationships to disclose

Chris Salierno, DDS: No financial relationships to disclose

Sree Koka, DDS, MS, PHD, MBA: No financial relationships to disclose

Explore the transformative power of artificial/augmented intelligence (AI) in the field of dentistry with this comprehensive course. Participants will gain a solid understanding of AI concepts, applications, and its potential for the future in both the clinical and business aspects of dental care.

Throughout the course, speakers will delve into AI's role in in dentistry, including dental imaging, diagnosis, clinical decision support, population health, and integration with core business functions.

The course will conclude with an expert panel discussion on AI in dentistry

Learning Objectives:

Introduce the disciplines of AI, including machine learning, deep learning, cognitive computing, computer vision and natural language processing.
Understand AI concepts and terminology in dentistry.
Review current AI applications in dental practice.
Gain more insight on AI as it relates to caries detection, segmentation and quantification.
Important updates related to standards, data, and cybersecurity.
Gain practical knowledge of implementing AI in treatment planning and improving operational efficiency.
Explore the implications of AI on population health, integration of healthcare, issues relating to insurance, patient privacy and more.
What’s next as the AI adoption curve accelerates in 2023 and the over the next 5 years?