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How A US Hospital is Using AI to Analyze X-Rays - With Help From Red Hat

This week Red Hat announced one of America's leading pediatric hospitals is using AI to analyze X-rays, "to improve image quality and the speed and accuracy of image interpretation."

Red Hat's CTO said the move exemplifies "the positive impact AI can have in the healthcare field".

Before Boston Children's Hospital began piloting AI in radiology, quantitative measurements had to be done manually, which was a time-consuming task. Other, more complex image analyses were performed completely offline and outside of the clinical workflow. In a field where time is of the essence, the hospital is piloting Red Hat OpenShift via the ChRIS Research Integration Service, a web-based medical image platform. The AI application running in ChRIS on the Red Hat OpenShift foundation has the potential to automatically examine x-rays, identify the most valuable diagnostic images among the thousands taken and flag any discrepancies for the radiologist. This decreases the interpretation time for radiologists.
But it also seems to be a big win for openness:
Innovation developed internally is immediately transferable to public research clouds such as the Massachusetts Open Cloud, where large-scale data sharing and additional innovation can be fostered. Boston Children's Hospital aims to extend the reach of advanced healthcare solutions globally through this approach, amplifying their impact on patient well-being worldwide.

"Red Hat believes open unlocks the world's potential," the announcement concludes, "including the potential to share knowledge and build upon each other's discoveries. Additionally, Red Hat believes innovation — including AI — should be available everywhere, making any application, anywhere a reality.

"With open source, enabling AI-fueled innovation across hybrid IT environments that can lead to faster clinical breakthroughs and better patient outcomes is a reality."
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