Abstract
The integration of artificial intelligence (AI) with human expertise is reshaping the field of oral health care by addressing key challenges in the detection, diagnosis, and management of oral diseases. AI technologies, particularly machine learning and deep learning algorithms, have demonstrated the ability to process vast amounts of clinical data, including radiographs, patient histories, and biomarkers, to identify disease pat-terns with unprecedented accuracy and speed. This capability is particularly impactful in diagnosing conditions like dental caries, periodontal disease, and oral cancers at earlier stages, where early intervention can significantly improve patient outcomes. While AI excels at data analysis and pattern recognition, human expertise is crucial for contextualizing AI findings, making nuanced clinical decisions, and providing the empathetic, patient-centered care that remains the cornerstone of effective dental practice. The synergy between AI and clini-cians enhances treatment planning, enabling personalized, evidence-based strategies that are tailored to each patient's unique needs. Furthermore, AI tools offer potential for remote monitoring and real-time patient engagement, empowering individuals to take proactive control of their oral health. Predictive ana-lytics provided by AI can help anticipate disease progression, allowing for preventive measures to be implemented before serious issues arise. This collaboration promises to make dental care more efficient, accessible, and cost-effective, with implications for improved global health equity. As AI continues to evolve, the partnership between technology and human expertise is poised to revolu-tionize the management of oral diseases, transforming both clinical practice and pa-tient outcomes.