Lunit's AI-Powered Mammography Analysis Solution Achieves Comparable Diagnostic Performance with Human Readers
Lunit has unveiled the results of a collaborative study with Dr. Yan Chen, Ph.D., professor of digital screening at the University of Nottingham, United Kingdom. The study, recently published in Radiology, demonstrates that Lunit's AI-powered mammography analysis solution, Lunit INSIGHT MMG, matches the diagnostic performance of human readers. The study, which involved comparing Lunit's solution with assessments by 552 human readers, represents a significant milestone in the field of medical imaging and the future of breast cancer detection. Conducted retrospectively, the study evaluated two PERFORMS test sets, each consisting of 60 challenging cases from the NHSBSP (National Health Service Breast Screening Program), over a three-year period. Human readers assessed these cases between May 2018 and March 2021, while Lunit's AI-powered mammography analysis solution evaluated them in 2022. In the study, no significant difference was observed in the AUC (area under the ROC curve) between Lunit's AI-powered mammography analysis solution (0.93) and human readers (0.88), demonstrating the solution's ability to excel in breast cancer detection.
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