Rapid NCCT Stroke

by iSchemaView  · Based in United States → — Enhancing Assessment & Transforming Care
Emergency Medicine Neurology Radiology
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Regulatory Status Disclosed

Overview

Rapid NCCT Stroke, developed by iSchemaView (operating as RapidAI), is a radiological computer-assisted triage and notification software device. It is an AI/ML SaMD (Software as a Medical Device) that operates within the integrated Rapid Platform. The tool is designed to analyze non-enhanced head CT (NCCT) images to assist hospital networks and trained clinicians in workflow triage.

It uses artificial intelligence algorithms to flag and communicate suspected positive findings of Intracranial Hemorrhage (ICH) and NCCT Large Vessel Occlusion (LVO) of the ICA and MCA-M1. The system provides priority notifications to clinicians via PACS, email, or mobile device, including compressed preview images. Rapid NCCT Stroke aims to accelerate door-to-imaging and door-to-decision times, facilitate faster transfer decisions, and improve equity of care by making advanced CT imaging technology accessible to various centers.

It does not replace the need for CTA or MRA in ischemic stroke workup but provides workflow prioritization and notification. The software has demonstrated superior performance to general radiologists in detecting LVO from NCCT.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered analysis of non-contrast CT (NCCT) images
  • Detection of suspected Intracranial Hemorrhage (ICH)
  • Detection of suspected Large Vessel Occlusion (LVO) of ICA and MCA-M1
  • Automated triage and prioritization notifications
  • Notifications delivered via PACS, email, and mobile app
  • Compressed preview images in notifications
  • Integration with the Rapid Platform
  • Workflow prioritization
  • Rapid ICH 3.0, Rapid ASPECTS 3.0, and Rapid HVS modules
  • Automated image processing and analysis, providing easy-to-read, near real-time views of the brain

Use Cases

  • Expediting time between CT and CTA scans with prompt LVO notifications
  • Accelerating door-to-imaging and door-to-decision times in stroke care
  • Making faster transfer decisions for stroke patients
  • Improving equity of care by enabling stroke detection at any center
  • Assisting clinicians in interpreting CT images for patients with suspected acute stroke
  • Reducing intrahospital treatment times for LVO patients

What Physicians Need to Know

Stroke Detection Speed
Flags suspicious findings on non-contrast CT (NCCT) in reportedly less than three minutes. It aims to accelerate door-to-imaging and door-to-decision times.
Brain MRI/CT Analysis
Analyzes non-contrast CT (NCCT) images using AI, neural networks, and automated segmentation to detect suspected intracranial hemorrhage (ICH) and large vessel occlusion (LVO).
Large Vessel Occlusion Detection
Detects LVOs in the distal internal carotid artery (ICA) and middle cerebral artery (MCA-M1) from NCCT images. It demonstrates superior performance to radiologists for LVO detection from NCCT, with a sensitivity of 63.5% and specificity of 95.1% in a study.
Triage Prioritization Speed
Delivers triage and prioritization notifications, potentially reducing delays between initial CT and CTA scans. It has shown a time saving of over 56 minutes in time to notification, representing a 95% reduction compared to standard care.
ASPECTS Score Automation
RapidAI offers 'Rapid ASPECTS,' which automates and standardizes the Alberta Stroke Program Early CT Score (ASPECTS), measuring the volume of ischemic signs. It is the only automated ASPECTS software to receive CADx clearance from the FDA and has been shown to improve the agreement and accuracy of ASPECTS scoring.
Mobile Notification System
Provides triage and prioritization notifications through the Rapid mobile app, in addition to PACS and email. The app allows clinicians to access results, preview source images, zoom, and rotate images for detailed review.
Physician Tip

Leverage the rapid detection of intracranial hemorrhage (ICH) and large vessel occlusion (LVO) from non-contrast CT to accelerate time-sensitive stroke workflow decisions, especially for patient transfer to thrombectomy-capable centers. Utilize the automated ASPECTS scoring to improve consistency and accuracy in assessing early ischemic changes, which can be particularly beneficial for non-neuroradiologists. Integrate mobile notifications for immediate access to critical findings, enabling faster communication and coordination among stroke team members. Remember that Rapid NCCT Stroke is intended to complement, not replace, clinician interpretation of CT imaging.

Rapid NCCT Stroke integrates with existing hospital Picture Archiving and Communication Systems (PACS) and DICOM systems. Notifications are delivered via PACS, email, and the Rapid mobile app. The platform can also integrate with third-party communication platforms like Pulsara, allowing for seamless access to Rapid summary images and results within the communication workflow.

Details

Category Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI
Pricing Contact vendor for pricing information.
  • Pricing is determined by custom quote based on factors like institution size, specific modules required, and deployment scale
  • No free or freemium version for clinical use; pilot programs or research collaborations may be available
  • A contract example showed a 'Rapid Stroke - Standard Package' at $65,520 per year
DeploymentCloud-hosted SaaS; also available on-premise. Integrates with hospital ADFS/SSO.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Rapid NCCT Stroke received FDA 510(k) clearance (K222884) on March 2, 2023. It is indicated as a radiological computer-aided triage and notification software for the analysis of nonenhanced head CT (NCCT) images to assist in workflow triage by flagging and communicating suspected positive findings of Intracranial Hemorrhage (ICH) and NCCT Large Vessel Occlusion (LVO) of the ICA and MCA-M1.
Integrations
EHR Not specified
Specialties Emergency Medicine, Neurology, Radiology

What the Web Says

Rapid NCCT Stroke is an AI-powered software designed to quickly analyze non-contrast CT (NCCT) scans for suspected intracranial hemorrhage (ICH) and large vessel occlusion (LVO) in acute stroke patients. It aims to expedite triage, treatment, and transfer decisions, particularly benefiting centers with limited access to stroke specialists. The system delivers notifications through PACS, email, and a mobile app, facilitating faster workflow and potentially improving patient outcomes.

Overall: Positive

Strengths

  • Rapid detection and notification of ICH and LVO, often within minutes.
  • Superior sensitivity for LVO detection compared to general radiologists.
  • High sensitivity and specificity for ICH detection.
  • Facilitates faster treatment and transfer decisions, improving workflow efficiency.
  • Enhances equity of care by providing advanced imaging insights to all levels of stroke centers.
  • Integrates with existing hospital systems like PACS and offers mobile alerts.

Limitations

  • Susceptible to motion artifacts and performs poorly with suboptimal contrast boluses.
  • Impact on many patient-important outcomes (e.g., mortality, quality of life, length of stay) is uncertain due to limited evidence.
  • Cost-effectiveness is currently unknown.
  • Some studies evaluating its accuracy were conducted as standalone interventions rather than complementing clinician interpretation.
  • Requires careful consideration of integration with existing workflows to ensure clinician adoption.
  • The best value may only be realized with a strong stroke service line.

Based on reviews from: Reddit, Elion, Slashdot, G2, ResearchGate, AI Tools Every Physician Should Know, HealthAidb, PubMed, American Heart Association Journals, Indeed.com, Canada's Drug Agency, BioWorld, RapidAI, SoftFinders, TrustRadius, Capterra

Last updated: 2026-07-20

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Press & Coverage

GlobalData
RapidAI receives FDA approval for non-contrast CT imaging device
Rapid NCCT Stroke, an AI-powered medical device, received FDA 510(k) clearance for identifying suspected intracranial hemorrhage (ICH) and large vessel occlusion (LVO) from non-contrast CT imaging, aiming to accelerate stroke triage and improve patient outcomes.
2023-04
BioWorld
FDA clears Rapidai tool to detect, triage patients at high risk of stroke | BioWorld
Rapid NCCT Stroke, cleared by the FDA, uses AI to analyze non-contrast CT images for potential intracranial hemorrhage or large vessel occlusion, sending automated alerts to doctors to prioritize and triage stroke patients.
2023-04
AiThority
RapidAI Receives First and Only FDA 510(k) Clearance of Non-Contrast CT Imaging Product to Accelerate Acute Stroke Triage - AiThority
RapidAI announced FDA 510(k) clearance for Rapid NCCT Stroke, an AI-powered solution designed to detect suspected intracranial hemorrhage and large vessel occlusion from non-contrast CT imaging, aiming to expedite stroke care.
2023-04
AuntMinnie
RapidAI raises $75M in funding round - AuntMinnie
RapidAI secured $75 million in funding to advance its AI and workflow technology for stroke care, including its Rapid NCCT Stroke technology for detecting intracranial hemorrhage and large vessel occlusion.
2023-07
American Heart Association Journals
Abstract TP204: Performance of Rapidai NCCT Stroke Software in Colombia's Early Stroke System: Preliminary Results - American Heart Association Journals
A study in Colombia demonstrated that the Rapid NCCT Stroke module showed high specificity (96%), negative predictive value (98%), and accuracy (95%) for detecting intracranial hemorrhage, and identified 70% of CTA-verified large vessel occlusions from NCCT alone.
2024-02
Business Wire
RapidAI Announces a Series of Industry Firsts u2013 Unique Rapid Edge Cloud Platform, Breakthrough AI Non-Contrast CT Suite, International Expansion in Japan - Business Wire
RapidAI introduced its Rapid Edge Cloud platform and a breakthrough AI non-contrast CT suite for stroke, including Rapid NCCT Stroke, which helps identify suspected stroke cases on the first CT scan to reduce time to decision and treatment.
2023-11
PMC (PubMed Central)
Performance of RAPID noncontrast CT stroke platform in large vessel occlusion and intracranial hemorrhage detection - PMC
A study concluded that the RAPID NCCT Stroke platform demonstrated superior performance to radiologists in detecting large vessel occlusion (LVO) from non-contrast CT, suggesting its potential for earlier LVO detection and expedited patient transfer.
2023-12
MDPI
Non-Contrast Computed Tomography-Based Triage and Notification for Large Vessel Occlusion Stroke: A Before and After Study Utilizing Artificial Intelligence on Treatment Times and Outcomes - MDPI
This study highlights that AI solutions like RAPID NCCT Stroke for LVO diagnosis via NCCT scans have the potential to improve stroke care by reducing treatment times and enhancing patient outcomes, particularly in resource-limited settings.
2025-02

Videos

Product demos, reviews, and walkthroughs for Rapid NCCT Stroke.

View all on YouTube

Frequently Asked Questions

AI solutions for rapid NCCT stroke integrate by automatically analyzing non-contrast CT images to detect suspected intracranial hemorrhage (ICH) and large vessel occlusions (LVOs). These systems then deliver rapid triage and prioritization notifications to physicians via PACS, email, or mobile apps, significantly accelerating door-to-imaging and door-to-decision times. This improved care coordination and faster detection can lead to earlier treatment and potentially better patient outcomes, especially in time-sensitive stroke cases.
AI solutions for rapid NCCT stroke typically require regulatory clearances such as FDA 510(k) in the U.S. and CE Mark in Europe, classifying them as medical devices. Hospitals must ensure that the AI software they deploy has these necessary approvals and should also consider ongoing compliance with data privacy regulations like HIPAA, especially concerning the handling of protected health information (PHI).
AI-powered rapid NCCT stroke analysis can achieve 90-95% accuracy for identifying LVOs and ICH, often matching or slightly exceeding radiologist performance in controlled studies. Its speed advantage is dramatic, analyzing CT scans in 1-6 minutes compared to 15-60 minutes for traditional manual workflows, significantly reducing door-to-notification times. While AI on NCCT can detect core volume with equivalency to CT perfusion and MRI in some cases, CT perfusion still offers more detailed information on salvageable tissue.
AI stroke detection systems typically cost between $50,000 and $250,000 annually, which can be a barrier for smaller centers. Hospitals should evaluate the financial implications by considering the potential for reduced hospital stays, improved patient outcomes, and the ability to identify more treatable patients sooner, which can lead to a positive return on investment. Some solutions may also qualify for new technology add-on payments (NTAP) from CMS, further impacting the financial model.
Current AI algorithms for rapid NCCT stroke have limitations, including potential false positive rates ranging from 5-25%, and they may perform worse on smaller strokes, posterior circulation events, or hemorrhages under 5ml. They can also be susceptible to artifacts and may misinterpret stroke mimics, which account for a significant percentage of suspected stroke admissions. Clinicians must be aware of these limitations to avoid diagnostic errors and unnecessary interventions.
AI platforms for rapid NCCT stroke must comply with stringent data privacy regulations like HIPAA in the US and GDPR/EU AI Act in Europe. This often involves automated de-identification of both metadata and images to remove protected health information (PHI) before processing, especially when using cloud-based solutions or external vendors. Healthcare providers are responsible for ensuring that their chosen AI vendors adhere to these regulations and have robust security measures in place, often through business associate agreements.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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