Artificial Intelligence and Machine Learning in Dentistry

COURSE OVERVIEW

This seminar explores the role of artificial intelligence (AI) and machine learning in modern dentistry, focusing on their impact on diagnostics, workflows and treatment planning. Participants will learn about AI applications like enhanced radiographic analysis, patient monitoring and customized treatment in restorative care.

The session will also cover how to responsibly integrate AI tools into the practice to improve patient outcomes and operational efficiency.

Audience: Dentists, Dental Assistants, Technicians

Recommended Pre-requisite: None

Format

Self-Instruction, Pre-recorded Lecture

Subject

010 Basic Sciences

Speaker

Adam J. Kennedy, DMD, FAGD

Release Date

04/01/25

Expiry/Re-evaluation

04/01/28

Credit

1 CEU

Course Fee

$9

LEARNING OBJECTIVES

At the end of this course, attendees should be able to:
■ Discuss AI integration and machine learning algorithms in the dental practice
■ Identify the benefits of AI-driven tools on improving diagnostics, treatment planning and patient care
■ Understand the ethical and logistical challenges of implementing AI technologies in a clinical setting

Adam J. Kennedy, DMD, FAGD


Dr. Kennedy is the Program Director for the General Practice Residency at Yale-New Haven Hospital. He earned his DMD from Case Western Reserve University. After completing a General Practice Residency at the University of Washington, he began practicing in Bellevue and returned to UW as an affiliate instructor in 2017. Dr. Kennedy is a past president of the Seattle-King County Dental Society.
CE CREDIT:
Participants must view the pre-recorded lecture in its entirety and complete both the survey and quiz. Once all components are finished, the CE Certificate will be unlocked and available for download.

QUESTIONS:
If you have any questions or concerns related to this course or the platform, or experience any technical difficulties, please Contact Us.

SPEAKER DISCLOSURE:
This speaker was compensated by National Dentex for the production and delivery of course content. The speaker does not receive compensation for additional viewings of recorded materials. Any additional disclosures regarding potential commercial bias will be provided by the speaker at the beginning of the course presentation. This disclosure does not imply that the information presented is biased.