The aim of the lecture is to examine the expanding role of machine-learning tools and virtual reality in teaching dentomaxillofacial radiology, showing how machine learning based platforms can enhance students’ interpretative skills through adaptive case presentation, automated feedback, and dynamic visualization of anatomical structures and pathologies. It also outlines practical approaches to integrating these technologies into curricula, including structured reporting exercises supported by AI and progress-tracking dashboards. Own experiences in teaching dental student will be presented. Key ethical and pedagogical considerations - such as transparency, data protection, and avoiding overreliance on algorithms - are highlighted to guide responsible implementation in radiology education.