From the Journals
Clinical Guidelines
Feature

AI-Selected Trial Candidates are More Diverse

Could artificial intelligence-enabled medical chart review improve the speed, accuracy, and equity of study enrollment?

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  • March 10, 2026

  • 3 min

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An innovative AI system has demonstrated the capability to analyze electronic medical records to identify patients eligible for clinical trials of transthyretin amyloid cardiomyopathy. This platform automated the cumbersome chart review process within a health system, achieving a remarkable 96.2% accuracy in assessing eligibility criteria against traditional physician reviews. The AI effectively highlighted underrepresented populations, such as Black patients, increasing diversity in clinical trials. Importantly, it provides explanations for decisions made, streamlining the verification process and ensuring reliable patient candidate filtration.

Original Source(s)

AI-Selected Trial Candidates are More Diverse

Could artificial intelligence-enabled medical chart review improve the speed, accuracy, and equity of study enrollment?

  • March 10, 2026

  • 3 min

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