9 Uses of Generative AI in Healthcare

Generative AI has great potential in healthcare, from improving diagnosis and treatment to drug discovery and personalized medicine. However, there are also potential downsides such as ethical issues, bias and discrimination, and the need to ensure accurate and truthful information. Healthcare organizations must prepare for the possibilities and challenges of generative AI. Generative artificial intelligence (AI) has the potential to be a transformative force in healthcare, for example by providing physicians and other healthcare providers the tools to analyze medical data, more accurately diagnose patients, and offer them more personalized treatment plans. As such, it’s critical for healthcare organizations to understand and prepare for the possibilities generative AI could have across the industry. AI in healthcare combined with predictive analysis can help detect and diagnose various diseases earlier to improve patient outcomes. AI analyzes large data sets and identifies diseases based on the data put into its system.