Artificial Intelligence (AI) is transforming healthcare through advanced language models like ChatGPT, Gemini Advanced, and Co-pilot. These models enhance patient care, improve chronic disease management, and support medical research. ChatGPT provides personalized mental health support, Gemini Advanced aids in data analytics and early disease detection, while Co-pilot optimizes clinical workflows. AI accelerates medical research in genomics and drug discovery, enabling personalized medicine. It also plays a crucial role in epidemiology, particularly in managing infectious diseases like COVID-19. However, challenges such as data privacy, security, and ethical concerns must be addressed. AI integration requires robust cybersecurity measures, regulatory compliance, and transparent consent management to ensure ethical standards and patient autonomy. Ensuring seamless interoperability and maintaining AI system reliability are essential for effective healthcare delivery. Ethical considerations include mitigating algorithmic bias, enhancing accountability, and evolving informed consent processes to reflect AI's role in healthcare. The future of AI in healthcare depends on collaboration between technologists, healthcare professionals, and policymakers to harness AI's potential responsibly, ensuring it enhances patient-centered care without compromising human oversight.Artificial Intelligence (AI) is transforming healthcare through advanced language models like ChatGPT, Gemini Advanced, and Co-pilot. These models enhance patient care, improve chronic disease management, and support medical research. ChatGPT provides personalized mental health support, Gemini Advanced aids in data analytics and early disease detection, while Co-pilot optimizes clinical workflows. AI accelerates medical research in genomics and drug discovery, enabling personalized medicine. It also plays a crucial role in epidemiology, particularly in managing infectious diseases like COVID-19. However, challenges such as data privacy, security, and ethical concerns must be addressed. AI integration requires robust cybersecurity measures, regulatory compliance, and transparent consent management to ensure ethical standards and patient autonomy. Ensuring seamless interoperability and maintaining AI system reliability are essential for effective healthcare delivery. Ethical considerations include mitigating algorithmic bias, enhancing accountability, and evolving informed consent processes to reflect AI's role in healthcare. The future of AI in healthcare depends on collaboration between technologists, healthcare professionals, and policymakers to harness AI's potential responsibly, ensuring it enhances patient-centered care without compromising human oversight.