Aim: To explore the integration of Artificial Intelligence in dentistry, examining its impact on diagnostics, treatment planning, and patient care. Background: Artificial Intelligence (AI) has transformed the field of dentistry by enhancing diagnostic accuracy and treatment methodologies, leading to better patient outcomes. Tools such as machine learning algorithms and image recognition systems have significantly improved the precision and efficiency of diagnostics, treatment planning, and overall patient management. This technological innovation holds great promise in refining dental practices and optimizing workflow processes. Methodology: A comprehensive literature search was performed across multiple databases, including PubMed, Scopus, Web of Science, Embase, and Google Scholar, using a combination of Boolean operators and MeSH terms to identify studies on the application of AI in dentistry. The search was restricted to English-language studies, including systematic reviews, original research, and meta-analyses. Data was extracted by two independent reviewers, focusing on AI applications, methods, findings, and ethical concerns, with discrepancies resolved through discussion or a third reviewer. The extracted data was categorized thematically to provide a clear overview of AI’s role in dentistry. Results: AI applications in dentistry are diverse and transformative, enhancing diagnostic accuracy in radiology and pathology through techniques like convolutional neural networks and image recognition. In prosthodontics, AI optimizes prosthetic design and surgical planning using CAD/CAM technology and predictive models. AI-driven tools also improve accessibility via tele-dentistry and boost operational efficiency with practice management solutions. However, challenges such as data quality, ethical concerns, over-reliance on AI, and high implementation costs must be addressed to enable wider adoption and integration into dental practices. Conclusion: AI has the potential to significantly enhance various aspects of dental care, improving diagnostic accuracy, treatment planning, and patient management. However, addressing the challenges related to data quality, ethical concerns, and integration costs is essential for its successful and widespread adoption in the field. Clinical significance: The clinical significance of AI in dentistry lies in its ability to enhance diagnostic accuracy, leading to more timely interventions and improved patient outcomes. By streamlining workflows and enabling personalized treatment plans, AI also offers significant potential for increasing efficiency and accessibility in dental practices, benefiting both patients and practitioners.