This podcast episode explores the potential of AI in healthcare, specifically in the shift from reactive to proactive care. The speakers discuss how AI can analyze various data sources, such as images, EHR records, blood tests, and genetics, to inform risk prediction and personalized healthcare recommendations. They emphasize the importance of communicating risk factors to patients and providing guidance on interventions to reduce risks. Additionally, the speakers address privacy concerns related to genetic data and the need for secure and compliant data sharing systems. Overall, they envision a future where doctors not only diagnose patients but also provide recommendations on prevention and risk prediction, empowering patients to take control of their health.