Generative AI for Healthcare: Concepts and Applications

Abstract

In the field of medicine, generative artificial intelligence (Gen-AI) is being used to generate reports in natural language for clinical documentation, as well as to create images used in medical training and validating diagnostic tools. Moreover, generative AI helps in drug discovery by forecasting possible targets for treatment and molecular structures, greatly saving a lot of time and expense involved in conventional drug development procedures. According to latest study the introduction of generative AI in health care leads to accurate diagnostic results, faster drug pipeline discovery, and improved clinical documentation efficiency. This widespread introduction of this technology requires addressing challenges related to ethics, data privacy, and verification of AI-generated results to ensure their security. This paper highlights the potential of generative AI to completely transform contemporary healthcare practices by examining its current developments and challenges in the field of medicine.