5 Key Takeaways

• 1

  An AI system analyzed electronic medical records to identify eligible patients for a clinical trial for a rare heart condition.

• 2

  The AI platform processed 1,476 patient records in six days, assessing numerous eligibility criteria efficiently.

• 3

  AI-identified candidates for the trial were more diverse, with 37% being Black compared to only 7% from manual identification.

• 4

  The AI system demonstrated 96.2% accuracy in answering trial-relevant questions and 99% reliability in excluding ineligible patients.

• 5

  AI-assisted screening may broaden recruitment and reduce bias in clinical trials, improving efficiency in patient identification.