Imaging Tech

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An increasing number of repetitive tasks will be automated over time.

Time saved for critical cases.

Idea

THIS IS THE FUTURE OF HEALTHCARE

Here at Imaging Tech, we seek to address the underlying problems of the radiological industry. With a shortage of available radiologists to view and review patient conditions after scanning, there is a tremendous gap in terms of care for patients throughout the world.

With our software solution, we’re bringing the world of healthcare IT into the radiologists office, allowing them to continue to focus on scans, while our AI software alerts them of any potential abnormalities in patient scans.

But I must explain to you how all this mistaken idea of denouncing pleasure and praising pain was born and I will give you a complete account

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CT-scan images determine whether a person is healthy or has pulmonary damage. In general, pulmonary lesions of various types, including ground-glass opacities, solid white consolidation, and crazy paving patterns. The most common abnormal findings are ground-glass opacities, meaning that some parts of the pulmonary have shady areas, such as gray, instead of being black with clear white veins that indicate blood vessels in the lungs.

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Canadian healthcare providers are primed for the use of AI in medical diagnostics. Over the past two decades, hospitals in Canada have migrated from film- and paper-based diagnostic imaging to digital formats. These will create a library of data used as the basis of reference materials for AI radiology application. Furthermore, a poll conducted by Nanos revealed that an overwhelming 83% of Canadians would support research in the use of AI in radiology in Canada.