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AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning.

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    Summary
    This summary is machine-generated.

    AgentMD, a novel language agent, automatically curates and applies clinical calculators (RiskCalcs), improving healthcare analytics and patient care efficiency. This AI tool overcomes usability challenges, enhancing clinical decision-making with accurate, evidence-based predictions.

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    Area of Science:

    • Artificial Intelligence in Medicine
    • Clinical Informatics
    • Computational Health

    Background:

    • Clinical calculators are crucial for evidence-based predictions but face usability and dissemination challenges.
    • Manual curation of clinical calculators for large language models is not scalable.
    • Integrating AI with clinical tools can enhance healthcare analytics and patient care.

    Purpose of the Study:

    • To introduce AgentMD, a language agent for automated curation and application of clinical calculators.
    • To develop RiskCalcs, a large collection of executable clinical calculators.
    • To evaluate AgentMD's performance in selecting and applying relevant calculators for patient descriptions.

    Main Methods:

    • AgentMD automatically curated 2,164 clinical calculators from published literature, forming the RiskCalcs collection.
    • RiskCalcs tools were manually evaluated for accuracy on three quality metrics.
    • AgentMD's performance was assessed on the RiskQA benchmark and applied to real-world clinical notes.

    Main Results:

    • RiskCalcs tools achieved over 80% accuracy on quality metrics.
    • AgentMD significantly outperformed GPT-4 on the RiskQA benchmark (87.7% vs. 40.9%).
    • AgentMD successfully analyzed population-level and risk-level patient characteristics from clinical notes.

    Conclusions:

    • Language agents augmented with clinical calculators offer a scalable solution for healthcare analytics.
    • AgentMD demonstrates the potential to improve clinical workflow efficiency and patient care.
    • Automated curation and application of clinical calculators by AI can overcome existing limitations in healthcare settings.