Category: Machine Learning & AI

Six Things to Consider for a Successful Cloud Imaging Migration for Your Radiology Department

Medical imaging is moving to the cloud. That means the use of AI to improve clinical outcomes for patients is inevitable. Tracy Byers, senior vice president and general manager of enterprise imaging at Change Healthcare, says, “We’re thrilled to be bringing a feature-rich, highly secure, zero-footprint, cloud-native PACS, and our natively built AI solutions to market.”

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The Rise of AI in Medical Imaging Devices

Here, Ron Muscosky, worldwide product line manager at Carestream Health, sits down with AXIS Imaging News to discuss the surge of artificial intelligence technologies in medical imaging devices and what it means for clinicians—and the future of radiology.

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Technique Predicts Tumor Response to Cancer Therapy

A public/private collaboration led by researchers at The University of Texas at Austin has resulted in a new mathematical modeling technique that can accurately predict the response of tumors in breast cancer patients to treatments such as chemotherapy soon after treatment initiation.

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