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FDA - Approves Medical Decision Support Software Based On Artificial Intelligence.
Apr 08, 2018

According to a recent report by Pmlive, us regulators have approved a software based on artificial intelligence. The software can carry on the judgment to the risk of stroke in patients with, if found suspicious large vascular obstruction, Viz., the software application AI will Contact analysis results computed tomography (CT) and SMS expert nerve blood vessels.

Computer-assisted diagnostic software USES artificial intelligence algorithms to analyze images of stroke related indicators, while front-line caregivers look after patients and examine images in a standardized way. Notifications can be sent to mobile devices, such as smartphones or tablets, but experts still need to view images on a clinical workstation, and system design does not replace a complete patient evaluation.

The FDA's center for radiological protection in vitro diagnostic and radiation health Ochs's acting deputy director of the office of the said, "a stroke can cause severe and irreversible damage to the patient. The software can be through early notification experts to reduce treatment time and benefit patients. Faster treatment could reduce the degree of stroke or progress."

The U.S. food and drug administration grants marketing licenses to the viz. AI Contact system based on its De Novo pre-ipo review system. So far, the FDA has used the review system to approve the first mobile medical device and wireless contact lens sensor. The regulatory system is designed to encourage developers to take into account the needs of healthcare providers in diagnosing and treating diseases.

Viz.AI Contact is a retrospective study based on the image analysis algorithm and notification function of 300 CT images. The study found that viz. AI Contact was able to detect blockages in the brain compared to two trained neuroradiologists. The evidence for the reality shows that applications can notify neurovascular experts immediately when the system is suspected of being blocked.


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