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Ontologies in the New Computational Age of Radiology: RadLex for Semantics and Interoperability in Imaging Workflows

Leonid L Chepelev1, David Kwan1, Charles E Kahn1

  • 1From the Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto General Hospital, 585 University Ave, 1-PMB 286, Toronto, ON, Canada M5G 2N2 (L.L.C.); Insygnia Consulting, Toronto, ON, Canada (D.K.); Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (C.E.K.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.W.F.); and Imaging Service, Baltimore VA Medical Center, Baltimore, MD, and Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD (K.C.W.).

Radiographics : a Review Publication of the Radiological Society of North America, Inc
|February 9, 2023
PubMed
Summary

Precise medical terminology, like the RadLex ontology, is crucial for advancing patient care and integrating biomedical information. This ensures interoperability across research, education, and clinical applications, especially with AI.

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