Can AI Reduce the Harms of Screening Mammography?
Author:
Affiliation:
1. From the Department of Radiology, Division of Breast Imaging, Perelman School of Medicine, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104.
Publisher
Radiological Society of North America (RSNA)
Subject
Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://pubs.rsna.org/doi/pdf/10.1148/ryai.230304
Reference14 articles.
1. National Performance Benchmarks for Modern Diagnostic Digital Mammography: Update from the Breast Cancer Surveillance Consortium
2. A Deep Learning Decision Support Tool to Improve Risk Stratification and Reduce Unnecessary Biopsies in BI-RADS 4 Mammograms
3. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
4. Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis
5. Application of Deep Learning in Breast Cancer Imaging
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