Clinical Applications of Artificial Intelligence in Dentistry

Abstract

Background: Artificial intelligence (AI) has emerged as a disruptive force in a variety of medical disciplines, including dentistry. The article presents a comprehensive overview of the clinical applications of artificial intelligence in dental sciences. AI techniques such as machine learning, deep learning, and natural language processing are quickly being applied in dentistry to improve diagnosis accuracy, treatment planning, and patient outcomes. AI algorithms have performed admirably in diagnostics, detecting and classifying oral disorders such as dental caries, periodontal diseases, and oral malignancies using a variety of imaging modalities such as dental radiography, intraoral pictures, and 3D scans. AI algorithms help clinicians generate personalised treatment plans by analysing patient data such as medical history, genetic predispositions, and treatment outcomes. These technologies help to optimize therapy procedures, improve treatment success rates, and increase patient satisfaction. Furthermore, AI-based virtual reality and augmented reality platforms allow simulation-based training for dentistry students and practitioners, boosting their skills and decision-making abilities in complex clinical circumstances. Despite AI's tremendous promise in dental sciences, some hurdles persist, including data privacy concerns, regulatory compliance, and the need for interdisciplinary collaboration. Addressing these issues is critical for maximizing the benefits of AI in clinical practice and developing dental healthcare. To summarize, the incorporation of AI technologies has enormous potential for transforming dentistry practice by enhancing diagnosis accuracy, treatment planning, and patient outcomes. Continued study, collaboration, and innovation are required to fully realize AI's potential for improving dental care delivery and increasing oral health around the world.

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