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qXR identifies 15 of the most common chest X-ray abnormalities, including Tuberculosis
Qure.ai, a healthcare AI start-up, today announced that its chest x-ray product, qXR has received CE certification. Trained on more than one million chest x-rays, qXR detects 15 of the most common chest x-ray abnormalities with an accuracy of more than 90 percent. Taking only milliseconds to run, the product uses a heat map or bounding box to point out abnormalities to the clinician, facilitating rapid conﬁrmation. In settings without trained healthcare professionals, qXR is already being used to screen for tuberculosis, proving a valuable supplement to the existing healthcare systems. There are fewer than five companies globally who have received a CE certification for AI-based radiology products.
"The chest x-ray is the most commonly-performed radiology investigation, but one of the toughest to interpret," said Dr. Shalini Govil, Quality Controller for the Columbia Asia Radiology Group. "Qure.ai's solution could serve as a radiology assistant, providing a draft report that can be validated by a physician or radiologist. They've also come up with technology to visualize what the algorithm sees - a way to 'see through the computer's eyes.' I think this will be a game-changer on the road to building confidence in AI."
This technology is also being used globally as a screening tool for Tuberculosis. Forty percent of the 10.4 million annual Tuberculosis cases do not get proper care because they're not properly diagnosed. qXR can substantially speed-up the Tuberculosis diagnosis protocol by screening chest X-rays in milliseconds. More details about qXR and its use-cases are available at http://www.qure.ai/qxr.
"We're excited to announce this certification, which clears our path to market in many geographies," said Prashant Warier, Co-Founder and CEO of Qure.ai. "qXR can help doctors quickly and accurately detect and highlight abnormalities, reducing the chances of a missed diagnosis."
Qure.ai has also released a web-based interface that allows radiologists to test the performance of qXR. This portal -- available at scan.qure.ai -- gives users a real-time interpretation of a chest x-ray.
qXR is part of a line-up of deep learning products for radiology developed by Qure.ai, including automated interpretation algorithms for head CT scans, brain and musculoskeletal MRIs. Last month, the company announced the launch of its AI-powered head CT scan interpretation product that identifies brain bleeds and fractures.
Qure.ai's mission is to make healthcare affordable and accessible using the power of artificial intelligence. Qure.ai's deep neural networks can understand and interpret medical images with unprecedented accuracy and enable machines to perform routine diagnostics, thus improving healthcare outcomes and costs.
Qure.ai was founded in 2016, with funding from Fractal Analytics, and its core team comprises computer scientists, deep learning experts, medical practitioners and bioinformaticians.
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