The integration of artificial intelligence (AI) into dentistry is revolutionizing the field, enhancing diagnostic accuracy, treatment precision, and patient care. AI-powered systems, including machine learning algorithms and deep learning models, are being applied in various aspects of dentistry, from early detection of oral diseases (such as cavities, periodontal disease, and oral cancers) to personalized treatment planning and management. AI tools enable the analysis of medical imaging, such as X-rays, computed tomography (CT) scans, and intraoral scans, with remarkable precision, assisting dentists in identifying anomalies and potential risks that may be overlooked by the human eye. Furthermore, AI-driven applications support predictive analytics, optimizing treatment outcomes by anticipating patient needs and improving workflow efficiency in dental practices. These innovations not only enhance clinical decision-making but also reduce human error, streamline processes, and enable more tailored patient care. This abstract explores the current state of AI in dentistry, its challenges, ethical considerations, and future directions for AI integration in dental healthcare, emphasizing its potential to improve both clinical and patient experience outcomes.