How Synapse AI Solved Stroke Care’s Biggest Decision Challenge

TL;DR Summary

Borderline stroke cases—those with uncertain imaging, unclear timelines, or conflicting clinical factors—often delay treatment due to decision paralysis.

Sevaro’s Synapse AI solves this problem using advanced machine learning, automated ASPECTS scoring, deep imaging analysis, and personalized outcome predictions. With 85–92% predictive accuracy, Synapse AI improves decision speed by 67%, eliminates “borderline” classifications in 89% of cases, and aligns with expert consensus 91% of the time.

Hospitals using the platform report faster transfers, consistent treatment decisions, and better outcomes—marking the end of uncertainty in stroke triage.

Stroke teams face a persistent problem: “borderline cases” where patients don’t fit clear treatment guidelines. ASPECTS scores of 6-7, unclear timelines, or atypical presentations create uncertainty that can delay life-saving care.

Sevaro’s Synapse AI has eliminated this challenge entirely.

The Borderline Problem

Research shows expert clinicians struggle with complex stroke decisions. In one study, less than 50% could accurately predict outcomes in stroke scenarios, and fewer than 1% got multiple cases right. The issue? Human decision-making breaks down when variables conflict, which is exactly what defines borderline cases.

Traditional guidelines work for clear-cut presentations but fail when a young patient has severe symptoms with extensive early changes, or an elderly patient has mild symptoms with large vessel occlusion.

The AI Solution

Synapse AI transforms borderline cases through three key innovations:

Pattern Recognition: Machine learning trained on thousands of cases identifies subtle patterns humans miss, providing comprehensive analysis including automated ASPECTS scoring, mismatch quantification, and risk-benefit calculations.
Advanced Imaging: Deep learning detects early ischemic changes that might be overlooked. Studies show a 61-minute reduction in door-out times and 72-76% agreement with expert readers.
Personalized Prediction: Instead of population-based guidelines, the platform provides patient-specific outcome predictions with 85% accuracy for functional independence and 92% accuracy for hemorrhage risk.

Real Results

Implementation sites report dramatic improvements:

67% faster decision times
94% consistency in treatment recommendations
89% elimination of “borderline” classification
Better patient outcomes without increased complications

📣 The Impact

A multi-center study of 2,800 cases found AI-assisted decisions had 91% concordance with expert consensus and significantly better functional outcomes. Most importantly, 89% of previously uncertain cases received clear treatment recommendations.

Synapse AI doesn’t just improve individual decisions—it transforms entire stroke programs by reducing transfer delays, standardizing care, and enabling confident point-of-care treatment decisions.

The era of borderline cases is over. Every stroke patient can now receive precise, confident care backed by AI-powered clinical intelligence.

Ready to eliminate treatment delays and bring consistency to stroke decision-making?

Connect with us today to see how Synapse AI can transform your stroke program with faster triage, smarter imaging analysis, and expert-level decision support—right at the point of care.

👉 Schedule a demo or speak with our clinical team to explore a solution designed for the complexities of real-world stroke care.

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