News for Healthier Living

AI-Assisted Optical Imaging Could Ease a Major Bottleneck in Breast Cancer Surgery

For many patients with breast cancer, deciding whether cancer has spread to nearby lymph nodes still depends on labor-intensive pathology workflows that require tissue cutting, staining, and expert interpretation. These processes can slow intraoperative decision-making, prolong time under anesthesia, and, in some cases, delay definitive staging until after surgery. A new study suggests that combining dynamic full-field optical coherence tomography (D-FFOCT) with deep learning could help address this bottleneck by generating real-time "virtual pathology" images of fresh lymph nodes during surgery, while also preserving tissue for downstream molecular testing and other precision-medicine analyses.

April 28, 2026


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