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From matching to facilitation: Reframing AI's role in clinical trial enrollment
Adar Yaacov1,2, Einat Levi1, Nir Peled1,2
1Helmsley Cancer Center, Shaare Zedek Medical Center, Jerusalem, Israel.
None:
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.
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