Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study
Soonchunhyang University Hospital Seoul · Kyung Hee University Hospital at Gangdong · +5 more institutions
Abstract
Artificial intelligence (AI) improves the accuracy of mammography screening, but prospective evidence, particularly in a single-read setting, remains limited. This study compares the diagnostic accuracy of breast radiologists with and without AI-based computer-aided detection (AI-CAD) for screening mammograms in a real-world, single-read setting. A prospective multicenter cohort study is conducted within South Korea’s national breast cancer screening program for women. The primary outcomes are screen-detected breast cancer within one year, with a focus on cancer detection rates (CDRs) and recall rates (RRs) of radiologists. A total of 24,543 women are included in the final cohort, with 140 (0.57%)…
Citation impact
- FWCI
- 110.50
- Percentile
- 100%
- References
- 26
Authors
7Topics & keywords
- Mammography
- Breast cancer
- Prospective cohort study
- Medicine
- Mammography screening
- Cohort
- Cohort study
- Oncology
- Good health and well-being