Affiliation:
1. Al Baha University, Saudi Arabia
2. Teerthanker Mahaveer Dental College and Research Centre, India
3. Chhattisgarh Dental College and Research Institute, India
Abstract
Integrating artificial intelligence (AI) into dental diagnostics has revolutionized the field, offering unprecedented accuracy and efficiency in analyzing imaging data and improving patient care. This review provides an overview of AI applications in dental diagnostics, including automated pathology detection, treatment planning optimization, enhanced diagnostic accuracy, and workflow efficiency. Real-world examples illustrate the practical implementation of AI in dental practice, while clinical guidelines offer recommendations for its successful adoption. Opportunities for further advancement in AI-driven diagnostics are discussed, highlighting the potential for personalized, precise, and patient-centered care in dentistry. Furthermore, AI algorithms can assist clinicians in treatment planning by simulating potential outcomes, predicting success rates, and optimizing treatment parameters, such as implant positioning and orthodontic mechanics. AI enhances treatment precision and efficacy by providing clinicians with valuable insights and decision-support tools, ultimately improving patient outcomes and satisfaction.
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