From matching to facilitation: Reframing AI's role in clinical trial enrollment.
Where this comes from
- Record sourced from PubMed, PMID 42453696.
- Also identified by DOI 10.1016/j.patter.2026.101591 and PMC identifier 13366517.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.