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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

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

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Glassbeam unveils AI anomaly detection for imaging modality maintenance

by John R. Fischer , Staff Reporter

It also follows the recent partnerships established with Brown's Medical Imaging, Radiographic Equipment Services, and Calamed, which along with all of Glassbeam’s other strategic partners will distribute the solution to providers.

Pandit says the introduction of these capabilities signify the direction that all players in the medical equipment industry should be looking toward as they are are necessary for strengthening the efficiency of connectivity among medical devices and the makeup of the Internet of Things.
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“This is the time for somebody to come forward and tell the hospital owners that you can collect this operational data from these connected machines, and do these five use cases to become more proactive and predictive and save money, and increase revenue and reclaim revenues,” he said. “Every machine is becoming increasingly connected. Data is there. The value of analytics is a lot higher today because there’s no more extra work to be done. The work is being done in the cloud today and can be applied to any machine or hospital tomorrow.”

Support for these capabilities is backed by the FDA in its new report on the quality, safety and effectiveness of medical devices, finding that data retrieved from maintenance and repair of devices provides “valuable insight” into how well they perform.

The expansion is expected to go live in July or August.

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