StrokeAgent matched expert final decisions in 86% of 100 acute stroke cases, exceeding tool-free LLMs and neurologists
The study presents StrokeAgent, a multimodal agentic decision-support framework built around temporal alignment and continuous information synthesis that processes clinical records, laboratory results, raw electrocardiographic (ECG) waveforms and source multimodal CT images to support emergency triage, the initial thrombolysis decision and final reperfusion planning, and in a curated set of 100 patients with multimodal clinical and imaging data enriched for clinically complex reperfusion scenarios it achieved 86% concordance with expert-adjudicated final decisions, exceeding the mean of three tool-free large language models by 13 percentage points and the mean of six resident and attending neurologists by 17 percentage points, with 76% complete pathway concordance, completing the full deci