Ischemic Stroke CTA Triage

AI-assisted review of CT angiography to flag suspected large vessel occlusion and prioritize urgent ischemic stroke treatment workflows.

The Problem

“AI-assisted CTA triage for suspected large vessel occlusion in ischemic stroke”

Organizations face these key challenges:

1

CTA exams may wait in standard reading queues during high volume periods

2

Overnight and rural sites may lack immediate neuroradiology coverage

3

Manual escalation is inconsistent across technologists and clinicians

4

Subtle occlusions can be harder to identify quickly under time pressure

Impact When Solved

Reduce CTA-to-alert time for suspected LVO casesPrioritize urgent exams in radiology and stroke worklistsImprove consistency of after-hours and multi-site stroke triageSupport faster transfer and thrombectomy activation decisions

The Shift

Before AI~85% Manual

Human Does

  • •Review CTA exams in standard queue order
  • •Visually assess for suspected large vessel occlusion
  • •Manually escalate urgent stroke findings to the care team
  • •Decide on thrombectomy pathway activation or transfer steps

Automation

    With AI~75% Automated

    Human Does

    • •Confirm or dismiss suspected LVO findings on prioritized exams
    • •Interpret imaging in clinical context and make treatment decisions
    • •Handle ambiguous or discordant cases and urgent exceptions

    AI Handles

    • •Analyze incoming CTA studies for suspected LVO immediately after acquisition
    • •Assign triage priority and elevate high-suspicion exams in worklists
    • •Generate localization cues, suspicion scores, and key workflow timestamps
    • •Send standardized alerts to stroke workflow participants for urgent cases

    Operating Intelligence

    How it works

    AI watches every signal continuously.

    Humans investigate what it flags.

    False positives train the next watch cycle.

    Confidence95%
    ArchetypeMonitor & Flag
    Shape6-step linear
    Human gates1
    Autonomy
    67%AI controls 4 of 6 steps

    Who is in control at each step

    Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

    Loop shapelinear

    Step 1

    Observe

    Step 2

    Classify

    Step 3

    Route

    Step 4

    Exception Review

    Step 5

    Record

    Step 6

    Feedback

    AI lead

    Autonomous execution

    1AI
    2AI
    3AI
    5AI
    gate

    Human lead

    Approval, override, feedback

    4Human
    6↺ Loop
    AI-led step
    Human-controlled step
    Feedback loop
    TL;DR

    AI observes and classifies continuously. Humans only engage on flagged exceptions. Corrections sharpen future detection.

    The Loop

    6 steps

    1 operating angles mapped

    Operational Depth

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