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Speedier workflows powered by AI —as well as automation—have the potential to get diagnostic images into the hands of radiologists and physicians quicker so that they can begin a course of treatment for their patients. A version of this article previously appeared in DOTmed magazine.
doi: 10.1308/003588412X13171221498947 Usha Trivedi is a medical student at Rutgers New Jersey Medical School with aspirations to become a diagnostic radiologist. She is drawn to radiology due its unique blend of technology, art and medicine that is rooted in patientcare. Ann R Coll Surg Engl. 2012;94(1):e30-e32.
Time and again, I observe residents and junior radiologists listing as their first impression an incidental observation such as a fatty liver, or a renal cyst while the main culprit, namely the common bile duct calculus or the hydronephrosis receive a trivial second, or sometimes even third billing.
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