GenAiCov: Convergence of mathematical frameworks in generative AI for healthcare applications

Generative & narrow Intelligence is rapidly proving its ability to work like humans and surpassing all the ability to work professionally with the human mindset to help us work more significantly than ever before. Generative AI is rapidly attracting the market with its ability to answer queries, generate images, and compose music, and so on, including healthcare sectors. In 2022, the Global generative AI in the healthcare market reached a value of around $ 1,070 million and is estimated to reach approximately USD 21,740 million by 2032, at a compound annual growth rate of 35.1% between 2023 and 2032. Sounds interesting, but it may also raise some questions and challenges, such as how can we ensure that AI is ethical in diagnosing healthcare problems, trustworthy, and aligned with human values while balancing the benefits and risks of AI for society and the environment. The paper provides a comprehensive overview Use of Generative AI in Healthcare, its application, and its capabilities. After covering the benefits of generative AI, this paper explores its ethics and risks. Finally, we will study how generative AI disrupts the Healthcare sector, its opportunities, and its limitations. The paper also comprises various studies related to mathematical modeling in Generative AI in Healthcare such as their specifications and weaknesses, risks related to data, abilities of AI models to overcome human errors, etc. Furthermore, the result analysis fields contain some structures that can make this paper a comprehensive work on Healthcare. This work defines in-depth equilibrium dimensions of Generative AI in the case of healthcare with mathematical modeling.