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Multi-Agent Collaborative ADR Prediction With Human-Machine Decision Comparison

Recruitingn/aAges any - anyAllPeking University Third Hospital
NCT07808866 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

This study develops a multi-agent collaborative prediction model to forecast adverse drug reactions using real-world clinical medical records. It validates model performance via evidence-based data and compares decision outputs between the AI model and clinical physicians, aiming to improve early identification of drug adverse events. Only de-identified historical medical data will be analyzed; no new clinical interventions will be conducted, with no additional risks to participants.

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📋 Eligibility rules (as published)
Inclusion Criteria: * Cases shall involve drug categories including anti-infectives, cardiovascular agents, anti-tumor drugs, central nervous system drugs, digestive system drugs, etc. Each case must contain at least one definite adverse drug reaction (ADR) event, with complete supporting documentation (medical history, medication history, ADR occurrence process, and clinical outcome). Exclusion Criteria: * Cases with incomplete supporting documentation lacking medical history, medication history, ADR occurrence process or clinical outcome. * Cases only with suspected or possible ADRs without definite clinical confirmation.
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What it tests

  • Retrospective medical record data analysis only, no clinical intervention
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Where

2 sites
Peking University Third Hospital
Beijing, China
Peking University Third Hospital
Beijing, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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