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Diagnostic Tests

Using Artificial Intelligence in Screening Mammography

Karl T. Clebak, MD, MHA
Michael T. Partin, MD
Nathan J. Hemerly, DO

American Family Physician. 2024;110(5):535-536.

Author disclosure: No relevant financial relationships.

KARL T. CLEBAK, MD, MHA, FAAFP; MICHAEL T. PARTIN, MD, FAAFP; and NATHAN J. HEMERLY, DO, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania

Address correspondence to Karl T. Clebak, MD, MHA, FAAFP, at kclebak@pennstatehealth.psu.edu.

Author disclosure: No relevant financial relationships.

  1. 1.U.S. Preventive Services Task Force. Breast cancer: screening. April 30, 2024. https://www.uspreventiveservicestaskforce.org/uspstf/recommendation/breast-cancer-screening#bcei-recommendation-title-area
  2. 2.Lehman CD, Arao RF, Sprague BL, et al. National performance benchmarks for modern screening digital mammography: update from the Breast Cancer Surveillance Consortium. Radiology. 2017;283(1):49-58.
  3. 3.Lamb LR, Lehman CD, Gastounioti A, et al. Artificial intelligence (AI) for screening mammography, from the AJR special series on AI applications. AJR Am J Roentgenol. 2022;219(3):369-380.
  4. 4.Bahl M. Artificial intelligence: a primer for breast imaging radiologists. J Breast Imaging. 2020;2(4):304-314.
  5. 5.Taylor CR, Monga N, Johnson C, et al. Artificial intelligence applications in breast imaging: current status and future directions. Diagnostics (Basel). 2023;13(12):2041.
  6. 6.Fenton JJ, Taplin SH, Carney PA, et al. Influence of computer-aided detection on performance of screening mammography. N Engl J Med. 2007;356(14):1399-1409.
  7. 7.Freeman K, Geppert J, Stinton C, et al. Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy. BMJ. 2021;374:n1872.
  8. 8.Lång K, Josefsson V, Larsson AM, et al. Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study. Lancet Oncol. 2023;24(8):936-944.
  9. 9.Kaushal A, Altman R, Langlotz C. Geographic distribution of US cohorts used to train deep learning algorithms. JAMA. 2020;324(12):1212-1213.
  10. 10.Geis JR, Brady AP, Wu CC, et al. Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement. Radiology. 2019;293(2):436-440.
  11. 11.Centers for Medicare and Medicaid Services. Physician fee schedule. Updated July 1, 2024. https://www.cms.gov/medicare/physician-fee-schedule/search
  12. 12.Mital S, Nguyen HV. Cost-effectiveness of using artificial intelligence versus polygenic risk score to guide breast cancer screening. BMC Cancer. 2022;22(1):501.
  13. 13.Andrews M. Mammography AI can cost patients extra - is it worth it? J Health Econ Outcomes Res. January 30, 2024. https://jheor.org/post/2330-mammography-ai-can-cost-patients-extra-is-it-worth-it

This series is coordinated by Natasha Pyzocha, DO, contributing editor.

A collection of Diagnostic Tests published in AFP is available at https://www.aafp.org/afp/diagnostic.

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