Health Technology/clinical-trials

Phase IV Trial Compares AI-Assisted Single Reading vs Standard Double Reading in Breast Cancer Screening — Implications for Radiology Workflow

247 Health News Editorial

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4 Apr 2026

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3 min read

·clinical-trials

A landmark trial comparing AI-assisted single reading versus standard double reading in breast cancer screening could reshape radiology workflows. The study of 8,000 women evaluates whether artificial intelligence can maintain screening quality while addressing radiologist shortages.

Originally reported by ClinicalTrials.gov

References

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  2. 2.Brennan, M. E., Houssami, N., Lord, S., Macaskill, P., Irwig, L., Dixon, J. M., French, J. R., & Houssami, N. (2020). Magnetic resonance imaging screening of the contralateral breast in women with newly diagnosed breast cancer: systematic review and meta-analysis of incremental cancer detection and impact on surgical management. Journal of Clinical Oncology, 38(15), 1681-1697. https://doi.org/10.1200/JCO.19.00756
  3. 3.Duffy, S. W., Tabár, L., Yen, A. M., Dean, P. B., Smith, R. A., Jonsson, H., Törnberg, S., Chen, S. L., Chiu, S. Y., Fann, J. C., Ku, M. M., Wu, W. Y., Hsu, C. Y., Chen, C. D., Chiu, S. H., Chuang, S. L., Fracheboud, J., Groenewoud, J. H., de Koning, H. J., ... Chen, H. H. (2021). Mammography screening reduces rates of advanced and fatal breast cancers: Results in 549,091 women. Cancer, 127(4), 515-523. https://doi.org/10.1002/cncr.33204
  4. 4.European Commission. (2022). European guidelines for quality assurance in breast cancer screening and diagnosis (5th ed.). European Commission Health and Consumer Protection. https://doi.org/10.2875/518847
  5. 5.Houssami, N., & Hunter, K. (2017). The epidemiology, radiology and biological characteristics of interval breast cancers in population mammography screening. NPJ Breast Cancer, 3, 12. https://doi.org/10.1038/s41523-017-0014-x
  6. 6.McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., Back, T., Chesus, M., Corrado, G. C., Darzi, A., Etemadi, M., Garcia-Vicente, F., Gilbert, F. J., Halling-Brown, M., Hassabis, D., Jansen, S., Karthikesalingam, A., Kelly, C. J., King, D., ... Shetty, S. (2020). International evaluation of an AI system for breast cancer screening. Nature, 577(7788), 89-94. https://doi.org/10.1038/s41586-019-1799-6
  7. 7.Rodriguez-Ruiz, A., Krupinski, E., Mordang, J. J., Schilling, K., Heywang-Köbrunner, S. H., Sechopoulos, I., & Mann, R. M. (2019). Detection of breast cancer with mammography: effect of an artificial intelligence support system. Radiology, 290(2), 305-314. https://doi.org/10.1148/radiol.2018181371
  8. 8.Siu, A. L., & US Preventive Services Task Force. (2016). Screening for breast cancer: US Preventive Services Task Force recommendation statement. Annals of Internal Medicine, 164(4), 279-296. https://doi.org/10.7326/M15-2886
  9. 9.University Hospital Olomouc. (2024). Use of artificial intelligence in breast cancer screening: Impact of AI-assisted single reading by one radiologist on screening quality indicators compared to standard double reading by two radiologists without AI. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07075679
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247 Health News Editorial

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