Fredrik Strand

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

2020 · JAMA Network Open

Importance: Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives. Objective: To evaluate whether AI can overcome …

RADIFUSION: a multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement

2025 · Physics in Medicine and Biology

Abstract Objective. Breast cancer is a significant public health concern, and early detection is critical for triaging high-risk patients. Sequential screening mammograms can provide important spatiotemporal information about changes in breast tissue over time, which …