Healthcare is at an inflection point. Machine learning and data science are becoming key components in developing AI to support predictive and preventative insights. See how these insights are enabling global health leaders like Cerner, Geisinger, GYANT, and BenevolentAI to accelerate value based care. In this session, we will explore how AI-powered applications are transforming the health sector by reducing spend, improving patient outcomes, and increasing accessibility to care. Hear directly from global leaders in healthcare on how and why they are focusing on some of the industry’s biggest opportunities and where AI can help tackle both financial and operational inefficiencies that plague global health systems today. You will see examples of how to use data to securely develop digital front doors to improve the customer experience along with how others are using clinical research to make predictions for high-risk patient populations, leveraging pattern recognition to develop personalized care programs.
Describe fundamental approaches to machine learning and artificial intelligence and its application to healthcare
Explore the use of machine learning on structured and unstructured healthcare data on clinical outcomes
Examine the impact of machine learning and artificial intelligence across care delivery settings