Impact of Artificial Intelligence and Generative AI on Healthcare: Security, Privacy Concerns and Mitigations

This paper aims to understand the impact of Artificial Intelligence and Generative AI on the healthcare sector. As AI grows, it becomes an integral part of the healthcare system's components, such as the diagnosis process, the development of personalized treatments, and improvement in overall patient care. However, such enhancements raise severe concerns regarding data security and the privacy of patients.Our study looks at the analysis of the primary literature pieces on the leading security and privacy issues arising from AI's integration into healthcare. We study AI data handling, from its collection to its storage and processing, to point out the vulnerabilities in the infrastructure. The research will also consider privacy-related risks associated with using AI in healthcare, explicitly targeting sensitive patient data and how it is handled and secured.We also explore the proposed strategies, critically reviewing those that work and those that still need improvement. The paper synthesizes findings from a plethora of open-source journals. It offers a study that will help many to get a clearer view of the situation at hand about how AI and, by extension, generative AI are rel