From matching to facilitation: Reframing AI's role in clinical trial enrollment.

Abstract

Yaacov, Levi, and Peled argue that AI-powered clinical trial matching has achieved near-expert technical accuracy yet fails to increase patient enrollment because the dominant bottleneck is systemic-involving logistics, workflow misalignment, and consent burden-not informational. They propose reframing AI's role from matching engine to trial facilitation system.