The advent of generative artificial intelligence (AI) is revolutionizing the healthcare sector, bringing unprecedented advancements across various domains, including drug discovery and development, personalized treatment planning, medical imaging, and predictive health analytics. This chapter explores the multifaceted impact of generative AI in healthcare, highlighting its role in accelerating drug discovery processes, enhancing drug design and optimization, and improving drug safety and efficacy. The integration of generative AI in personalized treatment planning allows for the development of tailored therapeutic strategies based on a comprehensive analysis of patient-specific data, thereby improving treatment outcomes and patient satisfaction. In medical imaging, generative AI techniques such as generative adversarial networks (GANs) and variational autoencoders (VAEs) facilitate faster and more accurate image analysis and diagnosis, enabling early detection of diseases and abnormalities. Furthermore, generative AI's predictive health analytics and risk assessment capabilities empower healthcare professionals to predict disease outcomes, identify high-risk individuals, and implement timely preventive interventions. This chapter underscores the transformative potential of generative AI in enhancing healthcare delivery, reducing costs, and improving patient outcomes, paving the way for a more efficient and effective healthcare ecosystem. As technology continues to evolve, its integration into healthcare practices promises to drive further innovations and improvements in medical research and patient care.