AIMI Research Meeting: AI Integration Improves Breast Cancer Screening in a Real-World, Retrospective Cohort Study - Helen Frazer, MD

Artificial intelligence (AI) readers, derived from applying deep learning models to medical image analysis, hold great promise for improving population breast cancer screening. However, previous evaluations of AI readers for breast cancer screening have mostly been conducted using cancer-enriched cohorts and have lacked assessment of the potential use of AI readers alongside radiologists in multi reader screening programs. Here, we present a new AI reader for detecting breast cancer from mammograms in a large-scale population screening setting, and a novel analysis of the potential for human-AI reader collaboration in a well-established, high-performing population screening program. Our study demonstrated that human-AI collaboration has potential to improve accuracy and lower radiologist workload and costs in real world screening programs. The next stage of validation is to undertake prospective studies that can also assess the effects of the AI systems on human performance and behaviour.