Real-time segmentation and detection of ponticulus posticus in lateral cephalometric radiographs using YOLOv8: a step towards enhanced clinical evaluation

The proposed YOLOv8-seg model shows promising potential for improving the accuracy and efficiency of PP detection in lateral cephalometric radiographs. By integrating AI into the diagnostic process, orthodontic practices can benefit from more precise and reliable identification of small but clinically significant anatomical structures, ultimately enhancing patient care and diagnostic accuracy.