AI in Screening Mammography: Use One Radiologist and Improve Double Reads
Author:
Affiliation:
1. From the Department of Radiology, University of Pittsburgh, Pittsburgh, Pa; and Magee-Womens Hospital, University of Pittsburgh Medical Center, 300 Halket St, Ste C-316, Pittsburgh, PA 15213.
Publisher
Radiological Society of North America (RSNA)
Subject
Radiology, Nuclear Medicine and imaging
Link
http://pubs.rsna.org/doi/pdf/10.1148/radiol.232964
Reference9 articles.
1. Digital Breast Tomosynthesis and Digital Mammography Recall and False-Positive Rates by Time of Day and Reader Experience
2. Assessment of Radiologist Performance in Breast Cancer Screening Using Digital Breast Tomosynthesis vs Digital Mammography
3. Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study
4. Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis
5. Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme
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