AI Solution for Breast Cancer Early Detection(Korean AI Technologies)
Problem Statement
Screening mammography is the only single modality proven to improve breast cancer survival, and is the main test for breast cancer screening. However, screening breast cancer by mammography is far from ideal. False negative interpretations have been reported to range from 10 to 30%, and among the average 10% of subjects recalled for follow-up on initial screening mammogram, less than 5% are eventually diagnosed with cancer, representing a 95% false positive rate.
Key Value Proposition
Assist both breast specialists and general radiologists (non-specialists) to increase cancer detection rate and decrease recall rate when interpreting screening mammograms.
Enable general radiologists to perform at specialist level.
Training & Validation
Training with large data sets (>200,000 total cases, >50,000 cancer cases), high-quality (biopsy-proven cases) training set.
Demonstrated to perform at a standalone accuracy of 96% in ROC AUC.
Clinically validated to significantly improve the interpretive capabilities of radiologists up to 10%.
Currently in preparation for regulatory approval in various markets worldwide, including FDA, CE, MFDS.
