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First ultra high-res CT scan performed on US patient Scanner at UC Davis can image anatomy as small as 150 microns

Joint Commission fluoro mandate may confuse providers, say experts Requires max exposure rates of imaging modes for fluroscopy devices

This UK company is utilizing space technology to develop a portable 3D X-ray system Adaptix has received $1.35 million from space agencies

Industrial hi-res X-ray yields greater insight into child abuse case Identified microscopic injuries that would not have been detected with standard CT

Trice Imaging connects imaging devices of large chain healthcare provider Aleris Patients and physicians can view images on laptops, cell phones

Reducing extravasations in CT contrast-enhanced IV injections Tips and best practices for administering better care

Researchers orchestrate malware attack to expose imaging vulnerabilities Deceived radiologists and AI algorithms into misdiagnoses

House bill would require Medicare to cover CT colonography Supporters say it would improve screening compliance and outcomes

New AI software identifies make and model of cardiac implants in seconds Speed up diagnosis and delivery of treatment for patients with faulty devices

Varex Imaging Corporation to acquire 90 percent of Direct Conversion Adds new linear array digital detectors to Varex portfolio

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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