Overview:
Artificial intelligence is rapidly reshaping digital dentistry, from prosthetic design and CAD workflows to diagnosis, clinical decision-making, research, and patient care. However, the successful integration of AI into dental practice requires more than technical innovation. It also requires careful clinical validation, responsible implementation, and a clear understanding of where clinician expertise remains indispensable.
This webinar, organized by the IADR Digital Dentistry Research Network, will examine the evolving role of AI in dentistry from two complementary perspectives. The first presentation will focus on AI-assisted digital workflows for tooth-supported and implant-supported prosthetic restorations, highlighting how AI may improve efficiency, consistency, and workflow standardization while emphasizing the continued importance of clinical judgment for functional and esthetic outcomes. The second presentation will address the development, testing, validation, and implementation of AI tools for patient care and research, with attention to clinical reliability, data integration, decision support, and responsible translation into practice.
Together, the session will provide participants with a balanced understanding of the opportunities, limitations, and practical considerations associated with AI in digital dentistry. The webinar will be particularly relevant to researchers, clinicians, educators, and trainees interested in the scientific validation and clinical implementation of AI-driven dental technologies.
Learning Objectives:
- Explain how artificial intelligence is being applied in digital dentistry, including AI-assisted prosthetic design, clinical decision support, workflow standardization, and patient care.
- Compare the advantages and limitations of AI-driven dental workflows with conventional CAD, manual design, and traditional clinical decision-making approaches.
- Describe key principles for developing, testing, validating, and implementing artificial intelligence tools for safe and effective use in clinical dental practice and research.
- Identify clinical situations in which clinician expertise remains essential for functional, esthetic, ethical, and patient-centered decision-making despite advances in AI-assisted workflows.
Speakers:
Hyungin Yoon
Seoul National University
Talk: Tooth-Supported and Implant-Supported Prosthetic Restorations: How Smart Can They Become?
Jay Patel
Temple University
Talk: AI in Dentistry: Developing, Testing, and Validating Artificial Intelligence for Patient Care and Research
Moderators:
Ji-Man Park, Seoul National University
Walter Lam, Hong Kong University
