Vision-Language Model as a ‘Zero-Shot’ Assistant for Evaluating Condylar Osseous Changes in Cone-beam Computed Tomography
Introduction and aims Interpreting condylar osseous changes on CBCT is challenging for general practitioners. This study evaluated the ‘zero-shot’ diagnostic performance and utility of Vision-Language Models (VLMs) as AI assistants for detecting condylar abnormalities. Methods We analysed 72 CBCT images from the EHPN s...