Lunit, a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, 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. "This first study to apply the Personal Performance in Mammographic Screening (PERFORMS) scheme to AI algorithms marks a remarkable achievement, showcasing our AI's ability to match or even surpass human performance in detecting breast cancer.