AI for Screening Breast Cancer
The project studies the utility of machine learning for breast cancer screening. To evaluate how well can learning based methods interpret clinical information (including patient history, medical imaging, lab tests) and measure how they can improve the efficiency and accuracy of medical decisions.
- Prioritize patients for image interpretation.
- Route cases of varying difficulties to appropriate radiologists.
- Identify challenging cases that may benefit from two radiologists reviewing the images.
- Identify and triage normal cases.