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Automating clinical trial outcome identification and misreporting detection using RegCheck

2026-08-02

Abstract excerpt

<h4>Objective</h4> To evaluate the accuracy and cost of RegCheck, an automated large language model (LLM)-based workflow, for identifying clinical trial outcomes and detecting outcome misreporting by comparing its outputs with manual assessments from the COMPare Trials project. <h4>Design</h4> Validation study. <h4>Setting</h4> Sixty-two clinical trials originally assessed in the COMPare Trials project, sampled...

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Literature Corpus work
72183957-b9a1-5bc5-b3de-0724139e0a3f
DOI
10.64898/2026.07.30.26358885
Open publication

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Automating clinical trial outcome identification and misreporting detection using RegCheckDOI 10.64898/2026.07.30.26358885
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