Breast Cancer Screening Using AI-Assisted Ultrasound and Mammography A Population-Based Study for Women Aged 35 to 69

What this Trial Is About

Researchers are evaluating the use of Artificial Intelligence AI-assisted imaging technologies, including AI-assisted breast ultrasound and AI-assisted mammography, in population-based breast cancer screening. The study aims to improve the effectiveness and feasibility of breast cancer screening by addressing key challenges in large-scale screening. This project will provide scientific evidence for the implementation of AI-assisted imaging in breast cancer detection and explore optimized screening strategies for the Chinese population. Participants will be divided into two groups based on district clusters. The intervention group will receive combined screening using AI-assisted ultrasound plus AI-assisted mammography, while the control group will undergo routine screening with initial breast ultrasound followed by mammography if needed. The trial will compare these approaches across various technical and cost-effectiveness aspects using data from population screening practices. During the study, women will be followed for one year after screening to measure outcomes such as the incidence of early-stage breast cancer and the detection rate of suspicious breast lesions, including masses and calcifications. Researchers will monitor these results to assess the impact of AI-assisted screening compared to routine methods. The total participation period will cover enrollment, screening, and a one-year follow-up to ensure comprehensive evaluation.

AI-Enhanced Imaging in Population Breast Cancer Screening