Copyright © 2022 The Author(s): This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY-NC 4.0) International Journal of Scientific Research in Science and Technology Available online at : www.ijsrst.com Print ISSN: 2395-6011 | Online ISSN: 2395-602X doi : https://doi.org/10.32628/IJSRST52211299 722 Applications of Generative AI in Healthcare Santosh Jaini 1 , Phani Monogya Katikireddi 2 1,2 Independent Researcher, India 1 santoshk437@gmail.com, 2 phanimkatikireddi@gmail.com A R T I C L E I N F O A B S T R A C T Article History: Accepted : 01 Sep 2022 Published : 15 Sep 2022 Generative AI's function in healthcare is essential to enhancing medical sciences. This paper aims to analyze the potential of Generative AI technologies and examine how they can change the world, positively affecting its short-term future in medical diagnostics via imaging, exploration of new drugs, personalized medicine, and predictive analysis. Such applications are instrumental in the reform of the healthcare sector by improving diagnosis, accelerating the process of developing new drugs, and providing individualized patient care. Overall, Generative AI can enhance efficiency and efficacy in various healthcare subfields, optimizing patient outcomes and healthcare services. The paper will also discuss the current challenges and opportunities for applying Generative AI models to health. Keywords : Generative AI, Healthcare, GANs, Data Privacy, Reduction of Bias, Diagnostic Accuracy, EHR Data Anonymization, Real-Time Data Analysis, Synthetic Data, AI Ethics, Deep Learning, Medical Image Analysis and Interpretation Predictive Analytics, computational size, Federated Learning. Publication Issue : Volume 9, Issue 5 September-October-2022 Page Number : 722-729 I. INTRODUCTION This brings generative AI into reality in the technologically advanced world, transforming the health system tremendously. The generative AI can create new data that emphatically resemble the actual data and, at the same time, guarantee that data hold no sensitive information, which can breach the privacy and security of the data [1]. In healthcare, it opens up new development prospects, including enhancing diagnostic accuracy, personalized treatment, the speed of drug discovery, and patient management [3, 7]. Subsequently, as discussed in the next section, Generative AI offers a viable method not only of generating data but also of addressing some of the biggest challenges in the healthcare sector, such as access to large and diverse research datasets, patient anonymity, as well as management and description of numerous severe diseases [8, 11].