Course Description:

Artificial Intelligence (AI) has the capability to improve the accuracy and efficiency of periodontal disease classification and diagnosis, which is vital to achieving the best outcomes for patient care. Currently, there has not been a significant improvement in the methodology for detecting bone loss and assessing the severity of attachment apparatus loss despite the recent updates in the periodontal classification system. This course introduces the clinician to artificial intelligence and its application to periodontal disease assessment. It provides an overview of AI concepts and terminology and explains how AI systems provide more efficient, reliable data configurations for appropriate therapy recommendations. Attendees will have an opportunity to visualize examples of AI applications depicting clinical attachment loss and compare the exam findings to non-AI periodontal charting. A hallmark feature of the updated AAP Classification System brings opportunities for more case specific patient care. The need for calibration and clinician alignment with the new classification system while incorporating AI technologies will be discussed along with narrative examples for documentation recommendations.

​

Educational Objectives:

• Attain an understanding of Artificial Intelligence (AI) and its use in dentistry.

• Identify the value of incorporating AI into the staging and grading process as it relates to clinical efficiency and calibration.

• Discuss the new staging/grading system for periodontal disease and how it will benefit patient care and management.

• Recognize the impact AI has on patient communication, ethical detachment, and treatment acceptance.

• Develop individualized homecare regimens with AI utilizing staging and grading to motivate and encourage patients to improve their oral health.