From Diagnosis to Treatment: The Comprehensive Integration of Artificial Intelligence in Modern Dental Care

Abstract

Abstract The integration of artificial intelligence (AI) in dentistry is revolutionizing patient care by enhancing diagnostic accuracy, optimizing treatment planning, and improving surgical precision. Our review highlights AI’s pivotal role in radiology, where advanced deep learning algorithms analyze extensive dental image datasets, facilitating the early detection of conditions such as caries and periodontal disease. This capability leads to timely interventions and improved patient outcomes. In treatment planning, AI synthesizes diverse patient data, enabling personalized recommendations that align with evidence-based protocols, thus fostering a patient-centered approach in dental practices. Moreover, the incorporation of robotics in surgical procedures, particularly in dental implant placements, showcases AI’s potential to minimize human error and enhance procedural accuracy. These systems provide real-time assessments, ensuring that interventions are both effective and comfortable for patients. We also explore the automation of administrative tasks through AI, which streamlines workflows and allows dental professionals to devote more time to direct patient care. However, the integration of AI raises ethical concerns regarding data privacy and the implications of algorithmic decision-making, underscoring the necessity for human oversight to maintain ethical standards in patient care. In addition, we acknowledge limitations in the current literature, such as variability in study methodologies and the need for longitudinal studies to assess AI’s long-term efficacy. Ultimately, our findings illustrate AI’s transformative potential in dentistry, paving the way for a future characterized by more precise, efficient, and patient-centered care.

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