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

StatusRecruiting
PhaseNot specified
Started2026-06-19
View on ClinicalTrials.gov ↗
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.
Trial Details
NCT Number NCT07808866
Lead Sponsor Peking University Third Hospital
Conditions Adverse Drug Reactions, Clinical Decision Support
Enrollment 20,000 participants
Start Date 2026-06-19
Primary Completion 2027-06-19 (estimated)
Study Completion 2027-12-19 (estimated)
Updated on ClinicalTrials.gov 2026-09-09