AAPF1: AAP Foundation Future Horizons in Periodontology: Artificial Intelligence Applications in Clinical Periodontics
Program Track: Emerging Concepts and Innovative Therapies
Presenters
Description
Session Overview
This session will consist of two speakers who will share and discuss emerging science regarding the future of Artificial Intelligence and its potential applications to contemporary clinical periodontology practice. The speakers are faculty and practitioners who have benefited from the American Academy of Periodontology Foundation initiatives. Each speaker will give a twenty-minute presentation, followed by five minutes for discussion.
Overall Goals of the Session
Highlight the work of AAP Foundation-supported periodontists/residents and to stimulate a network of future leaders in academics and private practice.
Chun-Teh Lee
Beyond the Probe: Pioneering AI-Driven Periodontics
In recent years, artificial intelligence (AI) applications have dramatically increased, particularly in everyday life and healthcare. AI-driven technologies are set to revolutionize dentistry and periodontics. These advanced models and tools can be employed for various tasks, including computer-aided diagnosis, risk assessment, extracting information from clinical notes, and supporting dental education.
Educational Objectives:
- • Explain the core principles of Machine Learning, Deep Learning, and Generative AI.
- • Showcase current AI applications in periodontics.
- • Explore the next frontiers of AI in periodontics.
Muhammad Saleh
Prognostic Analytics in Clinical Periodontics
Clinical AI is moving periodontics from retrospective assessment to prospective care. This session focuses on prognostic tools, predicting tooth loss, GBR, and sinus-lift complications and outcomes. We will discuss selected imaging applications that augment risk stratification and treatment planning. Emphasis is on externally validated models, calibration, and utility at the point of care.
Educational Objectives:
- • Explain core methods for clinical prediction and how to judge performance.
- • Showcase current clinical applications.
- • Outline next steps for deployment.
CE Hours: .75
