
Medic Vision Imaging Solutions
The company’s innovative solutions are vendor agnostic, FDA cleared and is in routine clinical use at over 500 U.S hospitals and imaging centers.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
investor | €0.0 | round | |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
$3.5m | Series A | ||
Total Funding | 000k |
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Medic Vision is a technology startup that operates in the healthcare sector, specifically in the field of medical imaging. The company has developed an AI-assisted technology called iQMR® (intelligent Quick Magnetic Resonance) that enhances the quality of MRI images and accelerates the process of MRI scans. This technology is used by over 500 hospitals and imaging centers across the United States.
The company's business model revolves around providing an add-on system that can be integrated with any MRI scanner, regardless of the vendor or model. This system receives low-resolution images from the MRI scanner, processes them using proprietary 3D Iterative Image Enhancement algorithms, and then sends high-resolution, high-quality images to the relevant workstations. This process results in a 40% faster MRI scan time and a 35% increase in productivity, without compromising on image quality.
The iQMR® technology is also capable of using advanced machine learning algorithms to further enhance image quality, often beyond the physical capabilities of the MRI scanner itself. This feature can be customized to meet the specific needs of the imaging department or practice, leading to improved efficiency and workflow.
Medic Vision's clients are primarily hospitals and imaging centers. The company generates revenue by selling its iQMR® technology to these institutions. The technology not only improves the quality of MRI scans but also enhances patient satisfaction by reducing discomfort and scan time.
Keywords: Medic Vision, AI-assisted technology, iQMR®, MRI image enhancement, 3D Iterative Image Enhancement algorithms, machine learning, vendor-agnostic, healthcare sector, medical imaging, patient satisfaction.