Introduction: Personalized dental therapies are becoming increasingly achievable through advancements in digital technologies. The integration of patient-specific data and artificial intelligence (AI) is revolutionizing diagnosis, treatment planning, and the execution of oral rehabilitation, allowing for progress toward precision dentistry.
Methods: This study outlines a digital workflow for individualized dental treatment, starting with the full digitalization of the patient. Intraoral scans, CBCT imaging, and facial scanning were combined to create a virtual patient model. This integrated digital representation enabled comprehensive diagnostic evaluation and esthetic–functional treatment planning. Furthermore, AI-based systems were incorporated for diagnostic support and prosthetic planning.
Results: The virtual patient model allowed clinicians to simulate various therapeutic scenarios and optimize treatment strategies based on anatomical, functional, and esthetic criteria. The use of AI tools enhanced diagnostic accuracy, facilitated early detection of pathologies, and supported decision-making in complex rehabilitations. Patient-specific digital planning improved communication with both patients and interdisciplinary teams, leading to more predictable outcomes.
Conclusions: The integration of digital technologies and AI in dentistry enables highly personalized, precise, and efficient treatments. The creation of a virtual patient through comprehensive digitalization, combined with AI-enhanced planning, represents a significant step forward in individualized oral rehabilitation and sets the foundation for the future of precision dental care.