Cancer Risk Prediction Paradigm Shift: Using Artificial Intelligence to Improve Performance and Health Equity
J Natl Cancer Inst
.
2022 Oct 6;114(10):1317-1319.
doi: 10.1093/jnci/djac143.
Authors
Christoph I Lee
1
2
3
,
Joann G Elmore
4
Affiliations
1
Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
2
De partment of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA, USA.
3
Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Center, Seattle, WA, USA.
4
Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
PMID:
35876797
PMCID:
PMC9552274
DOI:
10.1093/jnci/djac143
No abstract available
Publication types
Editorial
Research Support, N.I.H., Extramural
Comment
MeSH terms
Artificial Intelligence
Breast Neoplasms*
Deep Learning*
Early Detection of Cancer
Female
Health Equity*
Humans
Mammography
Grants and funding
R01 CA262023/CA/NCI NIH HHS/United States
R37 CA240403/CA/NCI NIH HHS/United States