Navigating the Promise and Perils of Generative AI in Healthcare

Abstract

Generative AI offers transformative potential in healthcare, enabling advancements from data augmentation to drug discovery. However, its adoption poses ethical, technical, and regulatory hurdles. Issues like bias, data privacy, and ethical use necessitate responsible implementation. Stakeholders must collaborate to navigate these challenges, prioritizing ethical guidelines, robust security measures, and regulatory compliance. Education is crucial to ensure awareness and equip stakeholders to make informed decisions. By fostering trust and accountability, generative AI can revolutionize healthcare responsibly.