As the number of available imaging AI algorithms grow each month, the ability to truly validate a model’s performance and use that validation to enhance its clinical and operational performance has arguably become more important than the study-based accuracy claims. In the “prove it and improve it” phase of the imaging AI adoption curve, Qure.ai’s recent algorithm validation partnership with MEDNAX and vRad, a MEDNAX company, is of interest. The Imaging Wire sat down with Chiranjiv Singh, Qure.ai’s Chief Commercial Officer; Brian Baker, Director of Software Engineering for vRad; and Imad Nijim, CIO for MEDNAX Radiology Solutions and vRad, to discuss the origins and results of their efforts to validate Qure.ai’s qER solution “in the wild.”

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