Zebra Medical Vision AI Platform
AI-powered medical imaging analysis for radiology workflows
Company profile
Company profile
Zebra Medical Vision is a medical imaging AI company that develops automated analysis solutions for radiology workflows. The company leverages deep learning algorithms to detect and analyze various medical conditions from imaging studies including CT scans, X-rays, and other modalities. Zebra Medical Vision's AI algorithms are designed to assist radiologists and healthcare providers in identifying potential abnormalities and prioritizing cases that require urgent attention. The company's technology aims to improve diagnostic accuracy, reduce reading time, and enhance workflow efficiency in radiology departments. Zebra Medical Vision serves hospitals, imaging centers, and healthcare systems globally, providing AI-powered tools that integrate into existing radiology information systems and PACS environments. The company focuses on developing clinically validated algorithms across multiple disease areas and imaging modalities to support radiologists in their diagnostic decision-making process.
Company description Zebra Medical Vision official website
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01 · Operating footprint
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02 · Flagship portfolio
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AI-powered medical imaging analysis for radiology workflows
03 · Research intelligence
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Research
Rheumatology (Oxford, England) · Aug 3, 2022
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs.Journal of digital imaging · Aug 1, 2022
Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography.Computer methods and programs in biomedicine · Mar 1, 2022
Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).PloS one · Jan 1, 2020
Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization.Nature medicine · Jan 1, 2020
Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade.Journal of the American College of Radiology : JACR · Oct 1, 2019
Clinical validation
No linked records are currently available.
Regulatory
K211803 · 510k · Dec 15, 2021
HealthCCSngK210085 · 510k · Sep 15, 2021
HealthJOINTK202487 · 510k · Dec 4, 2020
HealthMammoK200905 · 510k · Jul 16, 2020
HealthVCFK192901 · 510k · May 12, 2020
HealthCXRK192320 · 510k · Nov 26, 2019
04 · Company-reported outcomes
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05 · Leadership
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06 · Company updates
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07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.
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