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

Authors
Category Primary study
Registry of TrialsClinicalTrials.gov
Year 2026
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.
Epistemonikos ID: 20832696670d63631023deccfdc302947533a68b
First added on: Sep 10, 2026