Application of machine learning in predicting of MB2 canal in permanent maxillary first and second molars: A CBCT study
Objectives The aim of this study is to apply Machine learning (ML), a key subset of Artificial Intelligence (AI) in predicting second mesiobuccal (MB2) canals in both maxillary first molars (MFMs) and maxillary second molars (MSMs) using the cone-beam computed tomography (CBCT) imaging in an Iraqi sub-population. Metho...