aceAssessment of comprehensiveness of national cancer control plans using a multiagent artificial intelligence model: a global analysis
Background National cancer control plans (NCCPs) vary in scope and comprehensiveness, yet expert-led review is resource intensive and limits cross-country comparability. We aimed to assess NCCP comprehensiveness across 50 countries using the policy reasoning integrated sequential model (PRISM), a validated multiagent artificial intelligence (AI) system. Methods We identified the most recent national NCCP for each country from the International Cancer Control Partnership repository, the WHO Noncommunicable Diseas…
An AI system validated against expert ratings could score 50 national cancer control plans on 76 sub-elements, making cross-country comparison faster than resource-intensive expert review and exposing financing gaps.
The AI was validated against expert ratings on only six purposely selected plans before use across 50 countries, and the authors frame the tool's potential as a possibility rather than a demonstrated outcome.
Evidence
- Peer-reviewedThe Lancet Oncology2026-11-01
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Truvace Impact Record TRV-2026-2342, v1: “Assessment of comprehensiveness of national cancer control plans using a multiagent artificial intelligence model: a global analysis.” Truvace, 2026-11-03. /record/TRV-2026-2342 (accessed at citation time). sha256 4ffe2b279f47e336…
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