AAC Fall Webinar Program

Artificial Intelligence (AI) in Caries Diagnosis and Management

November 4th, 2022, 11 am - 1 pm ET

The field of artificial intelligence (AI) has experienced remarkable growth over recent years. AI-based applications are being successfully used in medicine to improve patient care and are expected to revolutionize the healthcare field, including Dentistry. This webinar will discuss the current and future applications of AI in dentistry with a special focus on the use of AI for caries diagnosis and management.

11:00-11:05 am

Welcome and Overview of the Webinar Program

Dr. Sandra Guzman-Armstrong, AAC president

11:05-11:25 am

Overview of AI in dentistry

AI applications in Dental, Oral and Craniofacial (DOC) care are not limited to diagnosis, and include possible treatment decision support. Clinicians have recently been working with tech companies to apply AI software to help diagnose and simulate treatment results. The integration of information from multiple sources of diagnostic records such as digital dental models, patient photographs, x-rays and Cone-Beam Computed Tomography, and clinical records are needed to improve patient care in Dentistry.

SPEAKER: Dr. Lucia Cevidanes , University of Michigan

11:25 -11:50 am

The use of AI data and algorithms for developing diagnosis and treatment planning systems in dental caries

Artificial intelligence (AI) in health care is the use of algorithms and software to approximate human cognition in the analysis of complex medical data. Specifically, AI is the ability for computer algorithms to approximate conclusions without direct human input. What distinguishes AI technology from traditional technologies in health care is the ability to gain information, process it and give well-defined output to the end-user. AI does this through machine learning algorithms, which can recognize patterns in behavior and create its own logic. This lecture will explain the basic principles of deep learning and its application in dental radiology, discuss technical requirements, and present examples of successful application of deep learning techniques, especially in dental caries.

SPEAKER: Dr. Kaan Orhan , Ankara University


Supporting Patient Care with Dental Artificial Intelligence

Dental AI can now identify anatomy and disease with incredible levels of precision and present findings with compelling visuals for patient communication. The technology is poised to redefine how dentists are trained, practices operate, and insurers reimburse. In this course, clinicians working at the vanguard of this technology will share the current capabilities of the technology and how payers and providers are using dental AI today in their operations.

SPEAKER: Dr. Chris Balaban , Overjet


Reactor: Applications of AI in Cariology: limitations and future perspectives

Human oversight of Artificial Intelligence will always be necessary. Because many current algorithms developed to date include evaluation of imaging, other factors to consider for decisions on whether to treat or not treat caries must be maintained by the clinician. How should other factors, like patient hygiene, caries risk assessment, remineralization of early caries, patient outcomes and patient overall health status impact treatment decisions for caries? While regulatory and policy groups are struggling to keep up to date, use of ethical principles should guide equity, transparency and continuous update of algorithms. In this area where guardrails and guidance in use of AI are developing, eliminating data bias, population selection bias (insured vs non-insured, working vs non-working, etc.) model bias with monitoring and validation of algorithms over time are essential. Let’s look at the crystal ball of the future of AI on whether to treat or not treat caries!

SPEAKER: Dr. Margaret Scarlett CAPT. (ret.), US Public Health Service, Office of the Surgeon General, DHHS


Q & A session (20 mins)

MODERATORS: Moderators: Dr. Livia Tenuta and Dr. Marcelle Nascimento


Closing remarks

Dr. Sandra Guzman-Armstrong, AAC president

University of Pennsylvania School of Dental Medicine 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.

University of Pennsylvania School of Dental Medicine designates this activity for 2.0 continuing education credits.

The webinar is supported by