AI Research

    Grounded Adjudication of Variations across Extracted TimeLines (GAVEL): Comparing Clinical Timelines Against Their Case Reports

    Automating the verification of clinical timeline accuracy through advanced LLM adjudication protocols.

    Existing pipelines for clinical timeline extraction from case reports are evaluated using an expert reference and are limited by imperfect reference annotations and imprecise event alignment. We developed GAVEL, an LLM judge protocol that compares two timelines with the case repo...

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    GAVEL leverages LLM-based adjudication to automate the rigorous validation of clinical timeline extraction, addressing the critical issue of human annotation inconsistency. This protocol significantly improves the reliability of medical record processing by providing a more precise, objective framework for comparing patient histories against structured clinical event logs.

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