Health Technology/clinical-trials

EARLIEST-AI Study Evaluates AI-Assisted Mammography Performance: Multi-Reader Trial Compares Radiologist Accuracy With and Without AI Support

247 Health News Editorial

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4 May 2026

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4 min read

·clinical-trials

The EARLIEST-AI study evaluates whether artificial intelligence can improve mammographic breast cancer detection, comparing radiologist accuracy with and without AI assistance in a multi-reader retrospective analysis of 785 participants.

Originally reported by ClinicalTrials.gov

References

  1. 1.Lehman, C. D., Wellman, R. D., Buist, D. S., Kerlikowske, K., Tosteson, A. N., & Miglioretti, D. L. (2015). Diagnostic accuracy of digital screening mammography with and without computer-aided detection. JAMA Internal Medicine, 175(11), 1828-1837. https://doi.org/10.1001/jamainternmed.2015.1051
  2. 2.Mammograaf Radioloogiakliinik. (2024). Exploring the Potential of Artificial Intelligence for Earlier Breast Cancer Detection: A Retrospective Multi-Reader Study Based on AI-Assisted Mammographic Interpretation (EARLIEST-AI). ClinicalTrials.gov. NCT07556900. https://clinicaltrials.gov/study/NCT07556900
  3. 3.McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., Back, T., Chesus, M., Corrado, G. S., 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
  4. 4.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
  5. 5.Schaffter, T., Buist, D. S., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., Feng, J., Feng, M., Kim, H. E., Albiol, F., Albiol, A., Morrell, S., Wojna, Z., Ahsen, M. E., Asif, U., ... Saez-Rodriguez, J. (2020). Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms. JAMA Network Open, 3(3), e200265. https://doi.org/10.1001/jamanetworkopen.2020.0265
  6. 6.Siu, A. L., & U.S. Preventive Services Task Force. (2016). Screening for breast cancer: U.S. Preventive Services Task Force recommendation statement. Annals of Internal Medicine, 164(4), 279-296. https://doi.org/10.7326/M15-2886
  7. 7.Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 71(3), 209-249. https://doi.org/10.3322/caac.21660
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