CASE STUDY
Boston Children ’ s Hospital is piloting imaging analysis using Red Hat OpenShift for AI .
The collaboration between Red Hat and Boston Children ’ s Hospital is utilising 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 .
BOSTON CHILDREN ’ S HOSPITAL EXEMPLIFIES THE POSITIVE IMPACT ARTIFICIAL INTELLIGENCE CAN HAVE IN THE HEALTHCARE FIELD AND HOW IT FUELS INNOVATION BEYOND TRADITIONAL ENTERPRISE IT .
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 OpenShiftvia 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 .
Innovation developed internally is immediately transferable to public research clouds such as the Massachusetts Open Cloud ( MOC ), 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 wellbeing worldwide .
Red Hat believes open source unlocks the world ' s potential , 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 ,
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