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Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering.

Brandon Colelough1, Davis Bartels1, Dina Demner-Fushman1

  • 1National Library of Medicine, National Institutes of Health Bethesda, MD, USA.

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|July 30, 2025
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Summary
This summary is machine-generated.

ClinIQLink is a new challenge to test large language models (LLMs) on medical question answering for general practitioners. It uses expert-verified data across seven formats to evaluate model performance.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Natural Language Processing

Background:

  • Evaluating the capabilities of large language models (LLMs) in specialized domains like medicine is crucial.
  • Existing benchmarks may not adequately assess LLM performance on complex, medically-oriented question answering tasks.

Purpose of the Study:

  • To introduce ClinIQLink, a shared task designed to rigorously evaluate LLMs on medical question answering for General Practitioner-level queries.
  • To provide a comprehensive dataset and evaluation framework for assessing medical QA capabilities of LLMs.

Main Methods:

  • The ClinIQLink challenge features 4,978 expert-verified, source-grounded medical question-answer pairs across seven distinct formats.
  • Systems are deployed in Docker or Apptainer images and executed on platforms like CodaBench or the Zaratan cluster.
  • Automated scoring uses exact match for closed-ended questions and a three-tier embedding metric for open-ended questions, with a physician panel for top model auditing.

Main Results:

  • The challenge provides a standardized method for assessing LLM performance on a variety of medical QA formats.
  • Task 1 employs automated metrics for initial scoring, while Task 2 involves expert physician review for qualitative assessment.

Conclusions:

  • ClinIQLink offers a robust benchmark for advancing LLM performance in medical question answering.
  • The task aims to drive improvements in AI systems designed to support healthcare professionals.