- AI
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- Mammography
Big Data Problem in Radiology
[VIDEO] IT and radiology have to prepare for big data, together.
The problem with the hype about big data is that hype tends to overpromise, Paul Chang, MD, of the University of Chicago, said at RSNA 2016.
“Whenever there is some potentially disruptive or transformative change, we reinvent ourselves,” he said. The role of the radiologist before PACS is drastically different than their role today, Chang said. Notably, the change didn’t kill radiologists, it probably made them better.
The misunderstanding about big data, Chang said, is that it’s something new. But radiology has always had a big data problem.
Chang explains in the video whether radiology is ready for big data and how radiologists can prepare.
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