Artificial Intelligence-assisted Periapical Radiographic Assessment: Lesion Detection, Endodontic Complication Analysis, and Review of Clinical Treatment Recommendations
CE Hours: 1.0
Description: Artificial intelligence (AI) systems are increasingly used in dental radiology to support endodontic diagnosis. However, their diagnostic reliability across different clinical categories remains unclear. This study compared 3 vision–language AI models (ChatGPT-5 Plus, Gemini 2.5 Pro, and Copilot Pro) with expert endodontists by assessing sensitivity, specificity, overall diagnostic agreement, and Youden’s Index across multiple endodontic conditions.
At the conclusion of this article, the reader will be able to:
- Compare the diagnostic performance of multimodal artificial intelligence systems with expert endodontist consensus in treatment selection, periapical lesion detection, and procedural complication recognition.
- Interpret the clinical significance of differences in sensitivity, specificity, and diagnostic agreement across endodontic tasks.
- Evaluate the role and limitations of multimodal artificial intelligence as a clinical decision-support tool in endodontic diagnosis and treatment planning.
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Lockedİpek Eraslan Akyüz, DDS
İpek Eraslan Akyüz graduated from Gazi University Faculty of Dentistry. She is currently an Assistant Professor in the Department of Endodontics at Erciyes University Faculty of Dentistry. Her research interests include regenerative endodontics, root canal irrigation, endodontic biomaterials, and artificial intelligence-assisted diagnosis.
Beyza Ezgi Kıvırcık, DDS
Beyza Ezgi Kıvırcık graduated from Hacettepe University Faculty of Dentistry. She is currently a research assistant in the Department of Endodontics at Erciyes University Faculty of Dentistry. Her research interests include artificial intelligence applications in endodontics, radiographic diagnosis, and working length determination.
Tuğrul Aslan, DDS, PhD
Tuğrul Aslan graduated from Ege University Faculty of Dentistry and completed his PhD in Restorative Dentistry and Endodontics at Erciyes University. He is currently Professor and Chair of the Department of Endodontics at Erciyes University Faculty of Dentistry. His research interests include endodontic biomaterials and treatment outcomes, biomechanical analysis of endodontically treated teeth, and emerging diagnostic technologies in endodontics.