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Artificial Intelligence (AI) has emerged as a transformative technology in healthcare, with significant applications in dentistry. AI has the ability to help evidence-based clinical decision-making, improve prognostic forecasts, and increase diagnostic accuracy by employing machine learning, deep learning, and complex data analytics. Through the analysis of radiographic, photographic, and clinical data, AI-driven systems are increasingly being used in dentistry to detect and categorize dental caries, periodontal diseases, oral potentially malignant disorders, oral cancers, endodontic pathologies, and orthodontic anomalies. Early illness detection, reduced diagnostic variability, and prompt care are all made feasible by these technologies. Beyond diagnosis, AI aids individualized treatment planning in precision dentistry by forecasting patient-specific risks, treatment results, and disease progression. AI's clinical relevance has been further enhanced by its integration with digital dentistry, including intraoral scanning, cone-beam computed tomography, and electronic medical records. Despite these developments, there are still significant barriers to mainstream adoption, including challenges with data privacy, algorithm transparency, ethics, regulations, and the demand for high-quality datasets. The goal of this paper is to give a thorough overview of the present uses of AI in dentistry diagnosis and prognosis, emphasizing recent advancements in technology, clinical advantages, drawbacks, and potential future advances. It is anticipated that the increasing collaboration between AI and dentistry would transform patient care by facilitating more precise diagnoses, enhanced prognostic evaluations, and individualized treatment plans. AI is set to become a crucial part of precision dentistry, improving clinical outcomes and healthcare efficiency as research and technology innovation continue to advance.