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medical

Results 301 - 303 of 303Sort Results By: Published Date | Title | Company Name
Published By: Stratasys EMEA     Published Date: Feb 21, 2019
The adage “never stop learning” is alive and well for both the students at Milwaukee School of Engineering (MSOE) and its Additive Lab Consortium members. The school of 2,900 students, located in the heart of downtown Milwaukee has ties with 47 manufacturing companies, including Kohler, Snap-on Tools, Baxter Medical and Master Lock. The Consortium was born out of necessity 27 years ago when MSOE was faced with a 50 percent shortfall in the funds needed to get an additive lab up-and-running. The school approached industry and opened partnership talks around additive technology. Four founding partners came on board, each contributing one-eighth of the cost of the lab. In turn they were provided with non-competitive, shared access. Currently, consortium members pay yearly dues in return for lab hours and access to additive manufacturing expertise.
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Stratasys EMEA
Published By: Intel     Published Date: Apr 11, 2019
Intel teamed up with Philips to show that servers powered by Intel® Xeon® Scalable processors could be used to efficiently perform deep learning inference on patients’ X-rays and computed tomography (CT) scans, without the need for accelerators. The ultimate goal for Philips is to offer artificial intelligence (AI) to its end customers without significantly increasing the cost of the customers’ systems and without requiring modifications to the hardware deployed in the field.
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Intel
Published By: Intel     Published Date: Apr 11, 2019
Hospitals produce 50 petabytes of data per year.1 A staggering 90 percent of that is medical imaging, and 50 percent of medical imaging data is from X-ray scanners.2 This is a flood of data for radiology departments, resulting in potentially long turn-around-time (TAT)—even when the scan is considered stat. In critical conditions, such as pneumothorax, escalation of interpretation is essential to accelerate treatment.
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Intel
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