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Deep Learning Shows Promise in Screening CT Scans

Healthcare applications for AI continue to emerge, including vetted algorithms used as diagnostic tools for analyzing medical imagery to spot critical abnormalities. AI startup Qure.ai said a clinical validation study involving 21,000 patients found that its algorithm could help accurately identify internal bleeding, fractures or other trauma in head CT scans.

It also made its data set of 491 CT scans analyzed by its algorithm available for download. CT scans—computer-processed X-ray measurements taken from a variety of angles to produce cross-section images—are a standard diagnostic test for head injuries or stroke victims. Qure.ai, San Mateo, Calif., said its algorithm is intended to help fill the gap in reading scans. Radiologists may not be immediately available to interpret CT scans, and the startup noted that prompt assessment of CT scans is especially critical for stroke patients.

Source: datanami.com
Author: George Leopold

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