Artificial Intelligence and Cloud Computing are merging together in the health sector as a digital revolution, helping in the reshaping of the management and delivery of healthcare services. The convergence of these two revolutionary technologies brings new innovative solutions for the improvements of healthcare in terms of efficiency and precision. AI and cloud computing in practice reduce errors in diagnostics, hasten decisions, and improve patient outcomes by accessing all available data in real time and the power of predictive analysis. With cloud-based AI solutions, remote monitoring and data-driven decision-making improve, while seamless collaboration among healthcare systems is ensured. This chapter discusses these technologies and their importance in modern health care such as its applications, advantages, challenges, and future developments. AI is already making a difference by detecting diseases earlier, analyzing medical images, and even helping in drug development. With machine learning models trained on massive datasets, AI can recognize patterns that doctors might miss, leading to more precise treatments. Technologies like BERT and GPT have given rise to large-scale medical language models (LLMs), allowing AI to seamlessly integrate with electronic health records (EHRs) and assist professionals with decision-making. Cloud-based AI is also changing the way healthcare is delivered. Remote monitoring and telemedicine have become more reliable, giving patients access to quality care no matter where they are. Administrative tasks are streamlined, reducing paperwork and letting doctors focus more on their patients. However, with great innovation comes great responsibility. Data privacy remains a major concern, and AI models must be updated frequently to keep up with new medical discoveries. Since healthcare is a field where precision is critical, even minor errors in AI predictions could have serious consequences.