Comparison of Multimodal Large Language Models and Oral and Maxillofacial Radiologists in the Detection of Incidental Findings on Panoramic Radiographs: A CBCT-Referenced Diagnostic Accuracy Study
Background/Objectives: This study aimed to compare the diagnostic performance of multimodal (image-capable) large language models (LLMs) and oral and maxillofacial radiologists in detecting nine predefined incidental findings on panoramic radiographs, using a cone-beam computed tomography (CBCT)-derived reference stand...