Title: Innovative Artificial Intelligence-Based Algorithm for an Accurate Tooth Prognosis Decision

Abstract:

Appropriate comprehensive treatment planning with a multidisciplinary approach is essential in clinical dentistry. It requires the evaluation of the entire oral health conditions, including the occlusal scheme, arch forms, and more. Furthermore, an accurate evaluation of the prognosis of each tooth is a critical initial step for treatment planning. Artificial Intelligence (AI) has been used in dentistry to make the diagnosis process more accurate and efficient in various disciplines however, to date, little is known about AI-implemented tooth prognosis decisions in consideration of comprehensive treatment planning.
Our recent publication assessed efficacy of an AI-based machine-learning algorithm for tooth prognosis decisions. Seventeen clinical determining parameters were established by 20 faculty from multiple disciplines. The learning data used 94 cases with 2359 teeth, and 16 evaluators individually assessed the tooth prognosis by ranking from 1 to 5, with 1: hopeless tooth (signifying severe problems requiring tooth extraction) and 5: healthy tooth (signifying good conditions for long-term). The algorism was then created by 3 methods, including gradient boosting classifier, decision tree classifier, and random forest classifier. These three methods were evaluated against the gold standard data determined by the consensus of three experienced prosthodontists, and the decision tree classifier had the best accuracy (0.8413) among the three methods. For the next steps, we further investigated the efficiency of the recently created algorism for the larger number of cases with the wider range of case complexity.
In this presentation, decision of tooth prognosis for complex cases determined by AI-based algorithm will be introduced. Furthermore, comparison of tooth prognosis decision among the countries with different insurance system will be provided.

Biography:

Shigemi Ishikawa Nagai is an associate professor of oral medicine, infection and immunity at the Harvard School of Dental Medicine. Throughout her career, Dr. Nagai has been dedicated to teaching prosthodontics and mentoring students’ research. Dr. Nagai has received numerous awards recognizing her teaching and research. HSDM. She has more than 90 peer-reviewed publications. Currently, she holds the Nagai-Kim-Chen Lab, which is comprised of clinician-scientists focused on translational research that combines clinical and developmental research with basic science.