<p>The integration of artificial intelligence (AI) into oral and maxillofacial surgery and dentistry provides promising perspectives for diagnostics, treatment planning, and patient care. Advancements in the areas of digital radiography, cone-beam computed tomography, 3D stereophotogrammetry, ultrasound, magnetic resonance imaging, and intraoral scanning have considerably improved image quality and diagnostic confidence. Due to the efficient processing of complex data, AI has the potential to establish diagnoses and personalized treatment plans automatically. Despite this progress, challenges to the integration of AI into clinical practice still exist. Particularly the technical complexity of adapting medical decisions to a&#xa0;patient’s individual requirements as well as unclear and incomplete data hamper integration. Three central problems are the limited data availability, the inadequate methodological reproducibility, and the limited usability of AI systems in clinical routine. Furthermore, there are ethical and legal issues to be clarified, particularly regarding data protection and liability. In order to increase the acceptance of AI in clinical practice, it is important to win the trust of clinicians and patients. Surveys have shown that both groups recognize the advantages of AI, such as improved diagnostics and personalized treatment approaches. However, concerns regarding responsibility in the case of AI errors and private sphere remain. Education and transparency are essential for combatting worries and increasing the trust in AI technologies.</p>