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AI for image interpretation: Friend or foe to rads?

In their point article, Dr. Randy Miles and Dr. Constance Lehman, PhD, of Massachusetts General Hospital said that applying AI tools for image interpretation will enable precision medicine, which shows potential for improving patient outcomes and lowering healthcare costs. Expanded use of this technology, while exciting and perhaps frightening, will undoubtedly redefine our value and future role as radiologists, they wrote. Addressing radiologist challenges AI could also help to address many challenges radiologists face today, said Miles and Lehman. It could, for example, help improve diagnostic accuracy by decreasing interpretation errors, as well as potentially increase patient safety by lowering variability in care. It could also prioritize exams on the radiologist worklist that may contain critical findings, as well as assist in tasks such as lesion characterization, prognostication, and treatment response prediction.

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