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Will big data rescue or ruin diagnostic imaging?

by Carol Ko, Staff Writer | September 19, 2013

Genomics meets imaging

Ultimately, Siegel sees a real opportunity for radiologists to seize on the current trend of genetics-based research. Gene analysis on its own presents researchers with a challenge because it's so complicated — gene expression is affected by a host of other phenomena, including epigenetics and the presence of other genes.

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Automated medical images can play a role as a supplemental biomarker to help clarify genetics-based medicine, but only if radiologists are prepared to lobby for studies to share data, standardize and rigorously quantify imaging exams, and work to standardize EMR systems for better data-mining, according to Siegel.

"Personalized radiology brings tremendous added value — we should reinvent ourselves in an ever-changing world of decision-supported data and lead the way into the next generation of information systems for major improvements in health care," he said.

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