Optimizing the Breast Imaging Report for Today and Tomorrow

Author:

McGrath Anika L1ORCID,McGinty Geraldine1,Berg Wendie A2ORCID,Mendelson Ellen B3,Drotman Michele B1,Ellis Richard L4,Langlotz Curtis P5

Affiliation:

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

Publisher

Oxford University Press (OUP)

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference14 articles.

1. Bending the artificial intelligence curve for radiology: informatics tools from ACR and RSNA;Kohli;J Am Coll Radiol,2019

2. Structured reporting: patient care enhancement or productivity nightmare?;Weiss;Radiology,2008

3. RadGraph: extracting clinical entities and relations from radiology reports;Jain,2021

4. Optimizing radiologist productivity and efficiency: work smarter, not harder.;McGrath;Eur J Radiol,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Breast Radiologists as Clinicians;Journal of Breast Imaging;2022-11-01

2. Breast Density and Breast Cancer Risk;Journal of Breast Imaging;2022-06-17

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