CONNECTICUT · CE COURSE · Co-sponsored with Connecticut State Dental Association

Artificial Intelligence in Dentistry: Policy, Evidence, and the Future of Dental Education and Practice

Dental AI is no longer a future promise—it's reshaping how care is delivered, documented, and reimbursed today. Join Dr. Natalia Chalmers, Chief Dental Officer at Overjet, former Chief Dental Officer at CMS, and former FDA Dental Officer, for an evidence-based CE course exploring the policy frameworks, clinical evidence, and real-world impact of AI in modern dental practice.

Course Title: Artificial Intelligence in Dentistry: Policy, Evidence, and the Future of Dental Practice
When: October 2nd at 12:15 PM ET
CE Credits: 1 CE credit

Featured Speaker

Dr. Natalia I. Chalmers, DDS, MHSc, PhD

Chief Dental Officer & Head of Clinical Innovation at Overjet

Dr. Natalia Chalmers is a board-certified pediatric dentist, 2025 AAPD Pediatric Dentist of the Year, and oral health policy expert with over 20 years of clinical, research, and regulatory experience. As Chief Dental Officer and Head of Clinical Innovation at Overjet, she drives data-informed dental care delivery. Previously, she made history as the first Chief Dental Officer at CMS and served as a Dental Officer at the FDA.

Continuing Education

Artificial Intelligence in Dentistry: Policy, Evidence, and the Future of Dental Practice

This course provides 1.0 CE credit. Co-sponsored by Overjet and the Connecticut State Dental Association.

Artificial intelligence is reshaping dental practice—from diagnostic imaging and clinical documentation to reimbursement workflows and regulatory oversight. This continuing education program examines the evidence, policy landscape, and practical implications of AI adoption in dentistry.

Led by Dr. Natalia Chalmers, a board-certified pediatric dentist and former Chief Dental Officer at CMS, participants will explore AI-assisted radiographic interpretation, oral health access disparities, FDA regulatory pathways for dental AI devices, and the ethical role of AI as clinical decision support. The session also addresses how converging AI technologies—Voice, Vision, and RCM—are transforming end-to-end dental office workflows.

At the conclusion of this course, participants will be able to:

1. Evaluate the evidence supporting AI-assisted diagnostic imaging in healthcare and dentistry.
2. Describe the oral health access landscape, including coverage gaps, spending patterns, and care disparities.
3. Identify factors driving diagnostic variability in dental radiograph interpretation and explain how AI addresses them.
4. Explain the FDA regulatory framework for dental AI devices, including the 510(k) pathway and key study requirements.
5. Discuss the role, limitations, and ethical considerations of AI as a decision-support tool in clinical dental practice.
6. Explain how the convergence of AI dental technology (Voice, Vision, and RCM) is transforming the end-to-end dental office workflow, from chairside documentation to claim reimbursement.