Artificial Intelligence in Dentistry: Current Evidence, Clinical Utility, and Challenges

Introduction The rapid expansion of digital technologies in dentistry has resulted in increased reliance on complex clinical and imaging data, creating opportunities for artificial intelligence (AI) to support diagnostic and treatment-related decision-making. While AI-based systems have demonstrated promising results, their clinical relevance and ethical implications require critical evaluation. This narrative review aims to evaluate the current evidence on AI applications in dentistry with particular emphasis on clinical utility, validation, and ethical considerations. Methods A narrative review of the literature was conducted using peer-reviewed studies focusing on AI applications across dental specialties, including dental imaging, orthodontics, endodontics, prosthodontics, implant dentistry, oral medicine, and oral pathology. Emphasis was placed on clinically relevant outcomes, validation approaches, and real-world applicability. Results AI has shown substantial potential as a decisio