An overview of the applications of artificial intelligence (AI) for medical event prediction across a variety of healthcare deployment scenarios. The main use case will be presented by Gilead Sciences describing the development and deployment of a global point-of-care Hepatitis C (HCV) screening program risk stratifying patients to improve the efficiency of screening for HCV. Specific areas covered include the role of life sciences organizations in developing such solutions and valuable learnings applicable to other therapeutic areas. Other use cases will cover deployment of AI solutions in support of commercial targeting, screening questionnaires and medical devices. The conversation concludes by raising important ethical considerations of AI for healthcare solutions.

What you will learn from viewing this content:

• Opportunities where AI can add value for medical event prediction, such as finding undiagnosed patients, predicting disease progression or adverse events, via a variety of deployment options, supported by real world examples
• Learnings from developing an HCV Screening Clinical Decision Support Tool, including the role of life sciences organizations, stakeholder engagement, value proposition, regulatory considerations