Risk-Stratified Screening: A Simulation Study of Scheduling Templates on Daily Mammography Recalls
Our simulation study suggests that RSS scheduling could reduce recall variance. This approach might enable same-day diagnostics using AI triage by accommodating patients within normal operating hours.
Authors
- William W.Y. Hsu (ORCID: https://orcid.org/0000-0002-5168-070X)
- Moira Inkelas (ORCID: https://orcid.org/0000-0003-1963-2430)
- Yannan Lin (ORCID: https://orcid.org/0000-0003-3514-6475)
- Mehmet Eren Ahsen (ORCID: https://orcid.org/0000-0002-4907-0427)
- Mehmet Ayvaci (ORCID: https://orcid.org/0000-0001-6997-1639)
- Vladimir Manuel (ORCID: https://orcid.org/0000-0001-8101-5885)
- Anne Hoyt
Institutions
- Twitter (United States) (US)
- University of Illinois Urbana-Champaign (US)
- University of California, Los Angeles (US)
- The University of Texas at Dallas (US)
- UCLA Health (US)
- Southern California Clinical and Translational Science Institute (US)
Publication Details
- Journal
- Journal of the American College of Radiology
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1016/j.jacr.2024.12.010
- Citations
- 6
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 6.27
Funders
- National Science Foundation
- U.S. Department of Health and Human Services
- V Foundation for Cancer Research
- Radiological Society of North America
- American College of Radiology
- National Institutes of Health
- Agency for Healthcare Research and Quality
- National Cancer Institute
- National Institute of Biomedical Imaging and Bioengineering