Research Director, Digital Health Duke-Margolis Institute of Health Policy Washington, District of Columbia, United States
Description: AI is revolutionizing clinical molecular diagnostics, but its safe integration hinges on two critical pillars: building consensus standards and enacting flexible but effective regulatory policies. In this talk, we will explore the distinct yet interconnected processes of building standards that ensure consistency and quality, alongside developing regulatory policies that safeguard patient safety and promote ethical AI use.
Learning Objectives: 1. Why AI/ML-enabled clinical tools create regulatory challenges, and how these are being addressed in the US 2. Learn more about existing collaborations to create consensus standards in this space