The detection of distomolar teeth on panoramic radiographs using different artificial intelligence models.

Purposes: One notable anomaly, presence of distomolars, arises beyond the typical sequence of the human dental system. In this study, convolutional neural networks (CNNs) based machine learning methods were employed to classify distomolar tooth existence using panoramic radiography (PR).

Methods: PRs dataset, composed of 117 subjects with distomolar teeth and 146 subjects without distomolar teeth, was constructed.

An Anatomorphometric Study of Occipital Spurs and Their Association With Dental Occlusion.

Background and objective The occipital spur (OS) can be described as an abnormal elongation of the external occipital protuberance (EOP); its etiology is multifactorial and may involve biomechanical, immunological, and/or genetic factors. This study aimed to determine the frequency and characteristics of elongated EOP or OS as well as the relationship of OS with occlusion in a group of Turkish dental patients. Materials and methods Lateral cephalometric radiographs of 1925 patients taken in 2022 were retrospectively analyzed.