The rapid expansion of Internet of Medical Things (IoMT) gadgets has revolutionized healthcare delivery allowing for real-time monitoring and better patient outcomes. However, this growth has also brought about cybersecurity risks making IoMT devices targets, for cyber attacks. This study delves into the connection between Generative AI and IoMT security emphasizing how advanced AI methods can be used to pinpoint, assess, and address vulnerabilities in these devices. We explore uses of Generative AI, such as simulating cyber-attacks and creating models for future threats to strengthen the resilience of IoMT systems against emerging dangers. By examining existing literature and case studies we showcase the effectiveness of AI-driven strategies in bolstering healthcare cybersecurity. Our results highlight the need for innovation in security measures to protect medical information and uphold the reliability of healthcare services. Ultimately this research contributes to discussions on enhancing cybersecurity protocols in the healthcare industry by advocating for integrating Generative AI as a tool, in combating cyber threats targeting IoMT devices.