Imaging analysis


The collaboration between Red Hat and Boston Children’s Hospital, one of the leading pediatric hospitals in the nation, is utilizing AI adoption in the hospital’s radiology department, with the promise to improve image quality and the speed and accuracy of image interpretation.

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.

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