362-FastGlioma: AI for Rapid Tumor Infiltration Detection
The paper details the development and validation of FastGlioma, an advanced artificial intelligence system designed to detect residual tumor infiltration during brain surgery. By utilizing stimulated Raman histology (SRH) and foundation models, this technology provides rapid, high-resolution imaging that identifies cancerous cells within surgical margins in near real-time. The research addresses a critical public health issue, as leftover tumor tissue significantly reduces patient survival rates and adds billions in healthcare costs annually. Through self-supervised learning and ordinal…
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