by
John W. Mitchell, Senior Correspondent | November 26, 2017
“We must improve our performance as a community … we need a revolution in medicine,” he told his colleagues.
Zerhouni said that in his career, he has noted that the way radiologists interpret findings is heterogeneous from one hospital to another. That has to change to a homogeneous system based on big data on the cloud, built and used by all radiologists to arrive at the same interpretations based on common AI standards. He, too, cited the concept of radiomics.
“We must take this direction very quickly,” Zerhouni said. “Future value (will be) who has the best reference data with most correlated molecular, cell and tissue (data). When you put this together, it allows you to compare your patient … to accurately track the evolution of diseases at the individual level.”
Radiologists, he said, have been the medical innovators in the past and they can do it again with a revolution of machine-augmented diagnostics.
“Ask not what radiology can do, but what we must do,” Zerhouni concluded.
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