HealthICH
Overview
Zebra Medical Vision, acquired by Nanox Imaging in 2021, develops and provides AI-powered medical imaging analytics solutions. The company’s mission is to empower clinicians with artificial intelligence for faster and more accurate care by analyzing medical imaging data to detect diseases earlier and with greater confidence. HealthICH, specifically, is an AI alert for intracranial hemorrhage (ICH) based on head computed tomography (CT) scans. It functions as a software workflow tool designed to aid in the prioritization and triage of radiological medical images, automatically identifying suspected internal brain bleeds for quicker review. It is important to note that HealthICH is not a physician directory tool; its purpose is to assist radiologists and healthcare providers in interpreting medical images.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-assisted triage and prioritization of critical findings
- Multi-modality AI analysis (X-ray, CT, MRI)
- Real-time clinical alerts for acute conditions
- DICOM integration with PACS and EHR systems
- Confidence scoring for clinical decision support
- Automated detection of various medical findings
- Audit trail and HIPAA-compliant data management
- Customizable workflow rules
Use Cases
- Triage and prioritization of intracranial hemorrhage (brain bleeds) on head CTs
- Early detection of pneumothorax on chest X-rays
- Identification of vertebral compression fractures for osteoporosis risk
- Detection of coronary artery disease and other cardiovascular conditions
- Screening for conditions like emphysema, fatty liver, and breast cancer
- Augmenting radiologist productivity and reducing diagnostic variability
What Physicians Need to Know
HealthICH serves as a crucial AI alert for intracranial hemorrhage, significantly augmenting the clinical team's ability to detect and respond to acute cases by prioritizing relevant scans. This early detection is vital, as timely diagnosis and intervention are critical for improving outcomes in ICH patients, where mortality rates are high, especially within the first 24 hours. While the AI identifies suspected findings and prioritizes cases, it's important to remember that it's a triage tool, and human radiologists remain responsible for final diagnostic decisions. The system's integration into existing workflows can help standardize ICH protocols, potentially leading to faster treatment and reduced hospital stays.
Aidoc's underlying aiOSu2122 enterprise platform is designed for seamless integration into existing healthcare IT infrastructure. It is vendor-neutral and connects with Picture Archiving and Communication Systems (PACS), Electronic Health Records (EHR) (e.g., Epic via App Orchard), Radiology Information Systems (RIS), and Vendor Neutral Archives (VNA) using standard protocols like DICOM, HL7, and FHIR. The system operates continuously in the background, automatically analyzing medical images. Deployment options include cloud-based, hybrid, or local dedicated hardware, with output available through image review software, desktop applications, alert notifications, and worklist prioritization via API or bespoke integration.
Details
| Category | Neurology AI, Radiology & Imaging AI |
| Pricing |
Historically, zebra medical vision offered an 'ai1' service providing access to all its algorithms for a flat fee of $1 per scan. current pricing models may vary post-acquisition by nanox imaging, likely involving subscription-based models or licensing agreements for healthcare institutions.
|
| Deployment | Cloud / On-premise / Hybrid |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Yes AI-estimated HealthICH received U.S. Food and Drug Administration (FDA) 510(k) clearance (K190424) on June 13, 2019, as a Class II device for radiological computer aided triage and notification software. It is indicated for the analysis of non-contrast head CT scans to identify suspected intracranial hemorrhage for worklist prioritization. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
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