From Risk Model to Millions: Clinical AI at Population Scale

• Designing and validating clinical risk models for whole-population use, where accessibility, missing data and generalisability matter more than headline accuracy
• Turning a validated model into a live national programme: population-wide engagement, stratifying risk into finite clinical capacity, and country specific data residency requirements
• Sustaining AI once deployed: embedding regulatory requirements into platform architecture, and monitoring model drift as early detection changes the screened population

Speakers:

Mahdi Safarnejad

Head of AI & Data

Huma