CuraRad-ICH
Overview
CuraRad-ICH is an AI-powered software workflow tool developed by CuraCloud. It is designed to aid in prioritizing the clinical assessment of adult non-contrast head CT cases that show features suggestive of acute intracranial hemorrhage (ICH). The software utilizes deep learning algorithms to analyze CT images and identify suspected ICH findings, making case-level output available to a PACS/workstation for worklist prioritization or triage. Its primary goal is to reduce radiologist turnaround time for suspected ICH cases, thereby potentially speeding up emergency care decisions for this urgent condition. The deep learning model was trained and validated using diverse data sources from numerous imaging facilities across the U.S. and China.
Note: According to Tracxn, CuraCloud (based in Seattle, founded 2016) is a deadpooled company as of April 2026. This information reflects the tool’s capabilities and regulatory status when the company was active.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Deep learning algorithms for ICH detection
- Computer-aided triage and notification
- Worklist prioritization for PACS/workstations
- Analysis of adult non-contrast head CT scans
- Reduces radiologist turnaround time
- Seamless integration with PACS/VNA and worklist applications
- Average processing time of approximately 20-43 seconds per case
Use Cases
- Prioritizing acute intracranial hemorrhage cases in emergency settings
- Expediting diagnosis of ICH on head NCCT
- Improving radiologist performance in detecting ICH
- Reducing misdiagnosis of ICH
What Physicians Need to Know
Leverage CuraRad-ICH for immediate prioritization of non-contrast head CTs showing suspected ICH to accelerate diagnosis and treatment initiation. Always confirm AI findings with clinical assessment and integrate the tool into existing PACS/worklist workflows for seamless operation. The rapid detection speed can be particularly beneficial in high-volume emergency settings to optimize radiologist efficiency and improve patient outcomes.
CuraRad-ICH is designed for seamless integration with existing worklist applications and PACS/VNA (Vendor Neutral Archives) using industry-standard APIs, ensuring minimal disruption to current clinical workflows.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Contact for pricing |
| Deployment | Cloud-based; integrates with PACS/workstations and VNA. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated CuraRad-ICH received U.S. Food and Drug Administration (FDA) 510(k) clearance (K192167) on April 13, 2020. It is classified as a radiological computer-aided triage and notification software (Product Code QAS) for detecting intracranial hemorrhage on head CT scans. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
What the Web Says
CuraRad-ICH is a cloud-native platform designed for stroke imaging analysis, aiming to accelerate diagnosis and treatment decisions for intracranial hemorrhage (ICH). It leverages AI to provide automated measurements and visualizations, integrating with existing hospital systems. Reviews highlight its potential to improve workflow efficiency and reduce time-to-treatment for stroke patients.
Overall: PositiveStrengths
- Accelerates stroke diagnosis and treatment decisions
- Cloud-native and accessible from various locations
- AI-powered automation for measurements and visualizations
- Integrates with existing hospital PACS and EMR systems
- Potential to improve workflow efficiency for clinicians
- Designed for rapid assessment of intracranial hemorrhage
Limitations
- Relatively new product, limited long-term user data available
- Dependency on internet connectivity for cloud-based operations
- Potential for integration challenges with highly customized legacy systems
- Learning curve for new users adapting to the platform
- Cost implications for smaller institutions or those with budget constraints
- Specific clinical validation data may still be emerging for broader adoption
Based on reviews from: CuraCloud Website, Healthcare IT News, Radiology Today, Medical Imaging Journals, Industry Analyst Reports
Last updated: 2026-07-17
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