Rapid ICH
Overview
Rapid ICH, part of the comprehensive RapidAI platform, is an artificial intelligence-powered software designed to quickly detect and triage suspected intracranial hemorrhage (ICH) on non-contrast computed tomography (NCCT) scans. It plays a crucial role in the acute assessment of patients presenting with neurological symptoms, particularly in stroke care. The software automatically processes images from a scanner, identifies various types of acute hemorrhages including intraparenchymal (IPH), intraventricular (IVH), subdural (SDH), and subarachnoid (SAH), and quantifies their volume, often down to 0.4 mL.
Rapid ICH provides immediate notifications to clinicians via PACS diagnostic workstations, email, and the Rapid Mobile app, streamlining workflow and accelerating critical treatment and transfer decisions. Developed using machine learning and deep learning techniques, it boasts high sensitivity and specificity for ICH detection, aiming to reduce missed hemorrhages and improve patient outcomes. The platform is designed to assist hospital networks and trained radiologists in workflow triage, complementing clinical judgment rather than replacing it.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated detection of suspected intracranial hemorrhage (ICH) on NCCT scans
- Triage and rapid notification of suspected ICH cases
- Detection of various hemorrhage subtypes (IPH, IVH, SDH, SAH)
- Quantification of hemorrhage volume (down to 0.4 mL or 1 mL)
- High sensitivity (e.g., 98.1-97%) and specificity (e.g., 99.7-100%) for ICH detection
- Rapid image processing and notification (within minutes, often under 60 seconds)
- Notifications delivered via PACS, email, and Rapid Mobile app
- AI/Machine Learning powered analysis using convolutional neural networks
- Prioritizes cases within the radiology worklist
- Integration with the broader RapidAI platform for comprehensive stroke assessment
Use Cases
- Expedited diagnosis of intracranial hemorrhage in acute neurological emergencies
- Triage and prioritization of stroke patients in emergency departments and mobile stroke units
- Assisting physicians in making timely treatment and transfer decisions for hemorrhagic stroke
- Reducing the rate of missed hemorrhages in clinical routine
- Streamlining workflow and communication for stroke care teams
- Supporting Joint Commission ICH score compliance through automated volume measurement
What Physicians Need to Know
Rapid ICH offers rapid and accurate detection and quantification of various hemorrhage types, which is critical for timely intervention in acute stroke. Leveraging the automated ASPECTS scoring can standardize assessment of ischemic changes and aid in thrombectomy decisions, particularly beneficial for less experienced clinicians. Utilizing the comprehensive mobile notification system ensures immediate access to critical imaging results, facilitating faster treatment and transfer decisions and enhancing care coordination across multidisciplinary teams.
The RapidAI platform is designed for seamless integration with existing hospital systems, including PACS, EHRs, worklists, and reporting systems. It supports secure mobile, desktop, and workstation tools for care coordination. The platform also allows for integration with curated third-party AI algorithms to expand coverage across various service lines, with a notable integration with Pulsara for real-time team communication and image sharing.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Contact for pricing — Enterprise pricing; contact vendor for details. |
| Deployment | On-premise (dedicated or virtual servers) and secure cloud |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Yes AI-estimated Rapid ICH is part of the Rapid NCCT Stroke platform, which received FDA 510(k) clearance (K221456) on September 12, 2022. It is cleared as a radiological computer-assisted triage and notification software for suspected intracranial hemorrhage (ICH) on non-enhanced head CT images. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
What the Web Says
Rapid ICH, part of the RapidAI platform, is an AI-powered software designed to assist clinicians in the rapid detection and analysis of intracranial hemorrhage (ICH) from non-contrast CT scans in patients with suspected acute stroke. Physicians generally view it as a valuable tool that enhances stroke diagnosis and workflow efficiency by providing fast and accurate detection of ICH, often before images are even available in PACS. However, it is consistently emphasized that Rapid ICH is intended to complement, rather than replace, human interpretation of CT images.
Overall: PositiveStrengths
- High sensitivity and specificity for ICH detection, with reported sensitivities between 92% and 97.84% and specificities between 95% and 99.52%.
- Significantly reduces radiology-report turnaround time and critical case notification time, leading to faster clinical decision-making and potentially improved patient outcomes.
- Aids in focusing interpretation to specific regions of anatomy for radiologists.
- Provides volumetric quantification of intraparenchymal and intraventricular hemorrhages.
- Notifies relevant medical personnel (ER physician, Radiologist, Neurologist) as soon as AI processing is complete.
- User-friendly interface and cloud-based system.
Limitations
- Low certainty of evidence regarding its impact on direct patient outcomes such as mortality, length of hospital stay, or health-related quality of life.
- Susceptible to motion artifacts and may not perform well with poor contrast boluses for LVO detection (though this is for LVO, not specifically ICH).
- Previous versions had a false-positive rate of approximately 5%, though newer versions aim to reduce this.
- Does not detect ICHs smaller than 0.4 mL.
- Requires oversight from physicians with neuroradiologic expertise to identify rare false-positives and negatives.
- Cost-effectiveness of RapidAI for stroke detection is currently unknown.
Based on reviews from: NCBI Bookshelf, Reddit, Canadian Agency for Drugs and Technologies in Health, NeurologyLive, ResearchGate, Capterra, G2, Articsledge, American Journal of Neuroradiology, Trustpilot
Last updated: 2026-07-19
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