Abstract: Generative AI (artificial intelligence) refers to algorithms and models that can be prompted to generate various types of content. Generative AI has quickly become a major factor in several industries, including health care. It has the potential to transform the sector, but we must understand how to use this technology in order to capitalize on its potential while avoiding the risks that may come with it while applying it to patient care. These models have played a crucial role in analyzing diverse forms of data, including medical imaging (encompassing image reconstruction, image-to-image translation, image generation, and image classification), clinical documentation, diagnostic assistance, clinical decision support, medical coding, and billing, as well as software engineering, testing and user data safety and security. In this review we briefly discuss some associated issues, such as trust, veracity, clinical safety and reliability, privacy and opportunities, e.g., AI-driven conversational user interfaces for friendlier human-computer interaction
Biswajit Bhattacharya (Sat,) studied this question.