Integrating AI and Distributed Computing for Advanced Dental Healthcare Management

Abstract

This research paper delves into the innovative integration of artificial intelligence (AI) and distributed computing within dental healthcare management, marking a pivotal advancement in the field. We explore the synergistic potential of AI algorithms and distributed systems in revolutionizing dental diagnostics, treatment planning, and patient data management. The paper elaborates on the utilization of machine learning models for predictive analytics in oral health, and the implementation of distributed architectures to ensure robust, scalable, and secure data handling. Emphasis is placed on AI-driven customization of patient care, enhancing accuracy and efficiency in dental practices. Challenges such as ethical considerations, data privacy, and the need for seamless human-AI collaboration are critically examined. This comprehensive study not only showcases cutting-edge technological advancements but also paves the way for transformative changes in dental healthcare delivery, underlining the vital role of AI and distributed computing in shaping the future of dentistry.