GENERATIVE AI IN HEALTHCARE: REVOLUTIONIZING DISEASE DIAGNOSIS, EXPANDING TREATMENT OPTIONS, AND ENHANCING PATIENT CARE

Generative AI, an advanced subset of artificial intelligence, has emerged as a transformative force in healthcare, offering unprecedented capabilities in disease diagnosis, treatment development, and patient care. This article explores the integration of generative AI technologies, such as Generative Adversarial Networks (GANs) and transformers, in medical applications. We discuss how these technologies are enhancing diagnostic accuracy, personalizing treatment plans, and improving patient outcomes. Through a comprehensive review of current literature and case studies, we highlight the potential and challenges of implementing generative AI in clinical settings. This research underscores the need for continued innovation and ethical considerations to fully realize the benefits of AI-driven healthcare.