Artificial intelligence (AI) is profoundly reshaping healthcare by enhancing the precision and efficiency of medical practices and personalized medicine. This chapter provides a comprehensive overview of the transformative impact AI technologies, such as machine learning, deep learning, and natural language processing, have across various healthcare domains. It explores significant advancements in diagnostics, highlighting AI’s capabilities in image analysis and early disease detection, with notable improvements in accuracy and speed. In drug discovery, AI accelerates innovation by streamlining target identification, virtual screening, lead optimization, and clinical trials, significantly reducing time and cost. The role of AI in personalized medicine is underscored by its ability to analyze extensive genomic, clinical, and lifestyle data, enabling highly tailored treatment strategies that improve patient outcomes. Despite these advances, the chapter acknowledges substantial challenges, including ethical considerations around data privacy, security, algorithmic bias, transparency, and accountability. Successful real-world implementations of AI technologies illustrate its practical benefits, such as improved diagnostic accuracy, streamlined administrative processes, optimized healthcare operations, and enhanced patient care. The chapter also identifies future trends, including the development of autonomous AI systems, increased integration of telemedicine and Internet of Medical Things (IoMT), and further sophistication of personalized medicine applications. Finally, it recognizes prominent researchers and leading institutions driving AI innovation in healthcare. Collectively, these developments point towards a future where AI significantly elevates healthcare quality, efficiency, and personalization, provided that ethical and regulatory challenges are effectively managed.