(TC42) A.I. Interpretation of Radiographic Images

In this day and age, artificial intelligence (AI) is quickly gaining popularity and is becoming a useful tool in assisting health professionals treat their valued patients. It has been widely used in the medical field since the mid-2010s, aiding in diagnostics, image reconstruction, lesion assessments, reading echocardiograms, detecting heart arrhythmias, monitoring hemodynamics, and monitoring vital signs1. Specifically, in endodontics, it may bring improvements to the diagnosis, treatment, and prevention of pulpal and periapical pathologies2. Endres et al. (2020) conducted a study which showed that AI can be taught to detect periapical radiolucencies comparably to 24 oral surgeons3. Additionally, literature has shown AI’s excellent ability in working length determination4 and vertical root fracture detection5 when exposing it to radiographs. Further developments in clinical treatment and outcome prognoses are currently underway1 and AI is very likely to have its place in endodontics in the future.

This table clinic will demonstrate AI’s current ability to interpret radiographs. It will showcase how several AI softwares analyze different radiographs. Attendees of the AAE conference will be able to evaluate the periapical radiographs and compare their interpretations to AI’s. We hope this will provide a better understanding of the current competency level of modern AI tools specifically when it pertains to radiographic interpretation.