iSchemaView RAPID
Overview
iSchemaView RAPID (developed by RapidAI, formerly iSchemaView) is a clinical artificial intelligence platform designed to automate the processing and analysis of medical imaging for neurovascular and vascular conditions. The platform assists in the rapid assessment of acute conditions, including ischemic stroke, hemorrhagic stroke, subdural hematoma, and aneurysms, by providing automated triage, localization, and quantitative analysis.
The software is primarily utilized by radiologists, neurologists, neurosurgeons, and emergency department physicians within hospital networks, comprehensive stroke centers, and hub-and-spoke healthcare systems. It supports clinical decision-making by analyzing non-contrast computed tomography (NCCT), CT angiography (CTA), CT perfusion (CTP), and magnetic resonance imaging (MRI) scans.
RAPID integrates directly into existing clinical workflows, connecting with Picture Archiving and Communication Systems (PACS), Electronic Health Records (EHR), and mobile communication applications. Key capabilities include:
- Automated Triage and Prioritization: Identifies and flags suspected large vessel occlusions (LVO) and intracranial hemorrhages (ICH) to prioritize urgent cases on the radiology worklist.
- Quantitative Perfusion Analysis: Generates color-coded perfusion maps to measure cerebral blood flow, volume, and transit time, helping to identify salvageable brain tissue.
- Volumetric and Anatomical Measurements: Automatically calculates hematoma volume, midline shift, and aneurysm dimensions.
- Care Team Collaboration: Facilitates real-time image sharing and communication across multidisciplinary teams to coordinate patient transfers and interventions.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-driven detection of Large Vessel Occlusion (LVO)
- AI-driven detection of Intracranial Hemorrhage (ICH)
- Automated CT Perfusion (CTP) analysis
- Automated CT Angiography (CTA) analysis
- Automated MRI Diffusion and Perfusion analysis
- ASPECTS scoring from CT scans
- 3D reconstruction of vasculature
- Real-time viewing and analysis of brain images
- Workflow and communication capabilities (mobile app, email, PACS integration)
- Edge-to-cloud platform architecture
Use Cases
- Acute stroke diagnosis and treatment decision making
- Patient selection for endovascular thrombectomy
- Triage and transfer decisions for stroke patients
- Monitoring and analysis of cerebrovascular conditions
- Aneurysm management (SurgicalPreview module)
- Clinical trials and research support
What Physicians Need to Know
Leverage iSchemaView RAPID's rapid, automated analysis for time-sensitive stroke cases to quickly identify infarct core and penumbra, and differentiate between ischemic and hemorrhagic stroke types. Utilize the comprehensive multi-modal imaging analysis (CTP, MRI, CTA, ASPECTS, ICH, LVO, SDH) for a thorough assessment. Integrate the mobile app and communication features for efficient team collaboration and faster decision-making. Remember that while the software provides automated scores and insights, clinical judgment, and integration with other patient-specific factors remain paramount. Be aware of its role in expanding treatment windows for thrombectomy, allowing for timely intervention in eligible patients.
iSchemaView RAPID boasts an open API infrastructure, facilitating seamless integration with various hospital systems. Key integrations include Picture Archiving and Communication Systems (PACS), mobile communication platforms like Pulsara for real-time team collaboration, and the dedicated RAPID Mobile App for on-the-go access to results. It also integrates with specific imaging systems, such as Siemens Healthineers syngo DynaCT Multiphase for angiography suite applications. The platform supports 'hub and spoke' models, enabling efficient data flow and result dissemination across regional stroke networks.
Details
| Category | Neurology AI, Radiology & Imaging AI |
| Pricing |
Contact for pricing
|
| Deployment | Hybrid (On-premise server and cloud-based edge-to-cloud platform) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated The iSchemaView RAPID (K182130, cleared 12/27/2018) is an image processing software package for viewing, processing, and analysis of CT Perfusion (CT-P), CT Angiography (CTA), and MRI (Diffusion Weighted MRI and Dynamic Analysis Module) datasets. It aids in physician diagnosis and the selection of acute stroke patients for endovascular thrombectomy. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
What the Web Says
iSchemaView RAPID (now RapidAI) is a widely adopted AI-powered platform in healthcare, primarily for stroke detection and management. Reviews from physicians and healthcare IT professionals generally highlight its effectiveness in improving patient outcomes by providing rapid and accurate analysis of medical images, leading to faster treatment decisions. The platform's ability to automate and streamline workflows is a recurring positive theme, although some users note the initial setup and integration can be complex.
Overall: PositiveStrengths
- Significantly reduces time to treatment for stroke patients
- High accuracy in identifying treatable stroke cases (LVO, ICH)
- Automates image analysis and provides critical data quickly
- Improves inter-hospital communication and patient transfer efficiency
- User-friendly interface once integrated into workflow
- Backed by extensive clinical validation and research
Limitations
- Initial integration and setup can be complex and time-consuming
- Cost can be a barrier for smaller institutions
- Requires robust IT infrastructure and support
- Potential for alert fatigue if not configured properly
- Learning curve for new users, especially with advanced features
- Limited information on customer support responsiveness in some reviews
Based on reviews from: RapidAI Website (case studies, testimonials), G2, Capterra, Reddit (r/medicine, r/radiology), Healthcare IT News, Journal of NeuroInterventional Surgery (JNIS)
Last updated: 2026-07-21
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