American Heart Association AI TORCH, powered by Dandelion Health

Independent, scientifically rigorous evaluations of clinical AI

The problem

Healthcare providers struggle to answer critical questions about clinical algorithms:

  • Does this work for my patients, practices, and infrastructure?

  • Is it worth it for outcomes and ROI?

AI developers spend years and significant resources proving model quality and value for various stakeholders.

This evaluation bottleneck slows clinical adoption, increases transaction costs, and prevents patients from benefiting from AI innovation.

The solution

The American Heart Association AI TORCH (Testing Outcomes and Readiness in Clinical Healthcare), powered by Dandelion Health delivers independent, scientifically robust AI evaluations that:

✓ Enable algorithms to compete on quality and value
✓ Reduce transaction costs for hospitals and developers
✓ Accelerate patient access to independently validated AI innovation

Interested in an independent evaluation or an evaluation dataset for regulatory needs in the US? Fill out the form below and someone from American Heart Association AI TORCH will get in touch.

Interested in an AHA AI TORCH independent evaluation?

Fill out this form, and someone from the American Heart Association AI TORCH will get in touch.

Learn more about the American Heart Association AI TORCH, powered by Dandelion Health

  • Webinar & Expert Roundtable: Expanding AI Access Across Healthcare Systems

    June 10, 2025 | 12:00 – 1:00 PM ET

    AI has the potential to transform cardiac and stroke care—but without scalable, rigorous evaluation, many hospitals are left behind. The American Heart Association is helping to bridge this gap with neutral assessments of AI algorithm performance.

  • Webinar: AHA AI Assessment Lab Case Studies

    July 10, 2025 | 12:00 PM - 1:00 PM ET

    Limited opportunity for those interested in becoming an early preferred user of the AHA AI Assessment Lab, powered by Dandelion Health. Come hear case studies of real cardiology algorithms that were validated in the AHA AI Assessment Lab and the impact of those results.