Optimizing the Breast Imaging Report for Today and Tomorrow

Affiliations

¹ Weill Cornell Medicine at New York-Presbyterian, Department of Radiology, New York, NY, USA.
² Magee-Womens Hospital of University of Pittsburgh School of Medicine, Department of Radiology, Pittsburgh, PA, USA.
³ Feinberg School of Medicine Northwestern at University, Department of Radiology, Chicago, IL, USA.
⁴ Mayo Clinic Health System, Department of Radiology, La Crosse, WI, USA.
⁵ Stanford University School of Medicine, Department of Radiology, Stanford, CA, USA.

Anika L McGrath et al. J Breast Imaging. 2022.

. 2022 Jul 29;4(4):343-345.

doi: 10.1093/jbi/wbac033.

¹ Weill Cornell Medicine at New York-Presbyterian, Department of Radiology, New York, NY, USA.
² Magee-Womens Hospital of University of Pittsburgh School of Medicine, Department of Radiology, Pittsburgh, PA, USA.
³ Feinberg School of Medicine Northwestern at University, Department of Radiology, Chicago, IL, USA.
⁴ Mayo Clinic Health System, Department of Radiology, La Crosse, WI, USA.
⁵ Stanford University School of Medicine, Department of Radiology, Stanford, CA, USA.

No abstract available

Keywords: BI-RADS; artificial intelligence; communication; natural language processing; radiology report.

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