Mesaros Symposium Artificial Intelligence in Dentistry
This presentation explores the growing role of artificial intelligence in dentistry, highlighting its applications in imaging analysis, diagnosis, treatment planning, restorative design, implant planning, and digital workflows. It also examines emerging innovations, including AI-powered navigation and robotics, and discusses how these technologies can improve clinical accuracy, efficiency, consistency, and patient outcomes.
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:The Erickson Alumni Center
About
Artificial intelligence (AI) is an emerging technology capable of processing large volumes of clinical data and is increasingly influencing medical decision-making and the life sciences. Dentistry has long relied on accumulated clinical experience across areas such as restorative care, laboratory fabrication, implantology, orthodontic tooth movement, surgery, diagnosis, and treatment planning. AI systems can learn from these human experiences to perform advanced data analytics, streamline laboratory workflows, and support the creation of digital dental products. In the future, AI may further develop into applications such as dental navigation systems and robotic assistance.This presentation reviews current advances in AI-driven dentistry and highlights future directions in both academic research and industrial applications. Key topics include automated imaging analysis, craniofacial characterization, tooth autosegmentation, restorative design, dental implant planning, patient outcome assessment, and AI-based diagnosis and treatment planning. These technologies promise improved accuracy, efficiency, and consistency, while enhancing clinical understanding and patient confidence.
Learning Objectives
Following completion of this lecture-based activity, participants should be able to:
Describe fundamental concepts and terminology in artificial intelligence.
Recognize basic AI algorithms and explain their underlying principles.
Describe current digital technologies used in dentistry.
Identify the clinical applications of AI technologies, including image segmentation, feature detection, dental monitoring, and tooth movement analysis.
Discuss the role of AI in supporting evidence-based dental practice.
Target Audience
This course is recommended for WVU School of Dentistry faculty, graduate program residents, 3rd and 4th year Dental and Dental Hygiene students, practicing dentists, dental hygienists, rural health preceptor faculty and clinical team support staffs.
Schedule
Day 1: Friday, August 21
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Overall review and fundamental concepts of Artificial Intelligence (AI), its terminology and principles of application in various disciplines of Dentistry
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Break
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Application of Artificial Intelligence in restorative dentistry workflow, implant dentistry, diagnostic imaging, surgery, orthodontic movements and data-based diagnosis, treatment planning and prediction of outcomes; case studies
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Advantages and challenges in using AI in contemporary dentistry, Q&A
Adjorn
About the Speaker
Dr. Ko has been associated with academic bioengineering and clinical orthodontics in various capacities over the last 35 years. He received his dental degree from Kaohsiung Medical University, Taiwan, R.O.C. in 1984, MS in Bioengineering at National Yang-Ming University, PhD in Bioengineering from University of Michigan in 1994, and Orthodontic certificate from University of Minnesota in 2006. He is presently the Professor and Vig/Williams Endowed Chair of the Division of Orthodontics, the Ohio State University College of Dentistry in Columbus, OH. Dr. Ko has contributed more than 180 publications in biomaterial/biomechanical sciences and orthodontic engineering.
He has co-authored more than 10 book chapters and is the leading author for the book of “Machine Learning in Dentistry”. Dr. Ko’s research interests include bone diseases that affect dental health, biomaterials for bone cell regeneration, biomimetic bone cements for dental implants, and nanocomposite scaffolds for TMJ-related tissue engineering. He serves as a scientific board member for international orthodontics foundation. He maintains a faculty clinical practice at OSU.
Registration
Course Credit
ADA CERP Credit
The WVU School of Dentistry is an ADA CERP Recognized Provider. ADA CERP is a service of the American Dental Association to assist dental professionals in identifying quality providers of continuing dental education. ADA CERP does not approve or endorse individual courses or instructors, nor does it imply acceptance of credit hours by Boards of dentistry.
The WVU School of Dentistry designates this activity for 3.0 continuing education credits.
Participants are cautioned about the potential risk of using limited knowledge when incorporating new techniques and procedures into their practices. The School of Dentistry has an obligation to disseminate new knowledge related to dental practice, in doing so, some presentation may include controversial material or commercial references.
Concerns or complaints about a CE provider may be directed to the provider or the Commission for Continuing Education Provider Recognition at ADA.org/CERP
Disclosure
All those in a position to control content have indicated that they have no relevant interest to disclose.
Contact Kim George-Warnick for more information at (304) 293-2521.
Venue
The Erickson Alumni Center
1 Alumni Dr, Grand Hall ABC, Morgantown, WV 26506