Zebra Medical Vision unveils deep learning research for automated chest X-ray
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Zebra Medical Vision unveils deep learning research for automated chest X-ray

by John R. Fischer , Staff Reporter

The unveiling of the Israeli enterprise’s research follows the recent CE markings for its seventh AI imaging algorithm, designed to detect suspected malignant lesions in mammograms, and its bleed detection algorithm.

In addition to the unveiling of its research, Zebra Medical Vision also announced its C round funding of $30 million, bring its total investment as a company to $50 million. AMoon Ventures led the investment, which included Aurum, Johnson & Johnson Innovation JJDC Inc., Intermountain Healthcare, and leading global AI scientists, professor Fei Fei Lee and Richard Socher.
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The company is currently exploring a similar technique for AP chest X-ray scans, and musculoskeletal and abdominal radiographies.

The findings are available on the arXiv.org e-Print archive and will be presented at the 21st International Conference on Medical Image Computing and Computer Assisted Intervention this September in Granada, Spain.

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