The report is a “roadmap” based on an August 2018 workshop about AI in radiology at the National Institutes of Health in Bethesda, Md., detailing key priorities for researchers in the sector. Those priorities include developing new image reconstruction methods, enabling automated image labeling and information extraction, and producing AI systems that explain the reasoning behind the solutions they offer, among others.
As the technology improves, AI used in radiology will be able to enhance “medical image reconstruction, noise reduction, quality assurance, triage, segmentation, computer-aided detection, computer-aided classification and radiogenomics,” according to the study.
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