EARLIEST-AI Study Evaluates AI-Assisted Mammography Performance: Multi-Reader Trial Compares Radiologist Accuracy With and Without AI Support
247 Health News Editorial
·4 May 2026
·4 min read
·clinical-trialsThe 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.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.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.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.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.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.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.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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247 Health News Editorial
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