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Siemens Healthineers to Acquire Varian

Siemens Healthineers AG and Varian Medical Systems Inc. have entered into an agreement, pursuant to which Siemens Healthineers shall acquire all shares of Varian for $177.50 per share in cash. This corresponds to a purchase price of approximately $16.4 billion....

MTMI Partners with Nautilus Medical Technologies

The Medical Technology Management Institute (MTMI), a division of The College of Health Care Professions, has announced a partnership with Nautilus Medical Technologies, developer of a cloud-based imaging sharing platform used by over a thousand health care providers...

Gillette Children’s Specialty Healthcare is the first U.S. hospital to image patients with EOSedge

EOS imaging, a provider of 2D/3D orthopedic medical imaging and software solutions for 3D anatomical modeling and surgical planning, has announced the first exams performed with EOSedge in the United States, at Gillette Children's Specialty Healthcare’s main campus...

Webinar on FDA’s Regulation of Face Masks and Surgical Masks during the COVID-19 Pandemic

On Tuesday, August 4, 12:00 p.m.-1:00 p.m. ET, the U.S. Food and Drug Administration (FDA) will host a webinar on the FDA’s regulation of face masks and surgical masks during the COVID-19 pandemic. This webinar will expand the scope of the respirator webinar series to...

GE Healthcare LOGIQ E10

The LOGIQ E10 ultrasound system integrates Artificial Intelligence, advanced tools and enhanced workflow capabilities to enable clinicians to scan, diagnose and treat a wide range of patients across a broad spectrum of conditions. One of its newest applications, Breast Assistant, powered by Koios DS, automatically provides an AI-based quantitative risk assessment that aligns to a BI-RADS category. During an exam, if a technician spots a suspicious area in the breast image, after contouring the lesion, the technician clicks the Breast Assistant button on the console, and the AI tool automatically analyzes the lesion, generating a BI-RADS-aligned category and risk assessment within two seconds or less. The color-coded scale aligns to the likelihood of malignancy – in essence helping to “dial in” the BI-RADS assessment, to support the clinician’s decision-making.

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