FastGlioma has an exceptional average success rate of 92 percent in detecting and calculating the remaining tumour from an operated patient, significantly outperforming traditional methods.
This AI system fills a critical gap by providing a quicker, more accessible and precise solution, addressing the high rates of residual tumours in brain cancer surgery.
Traditional detection methods often miss up to 25 percent of residual tumours, whereas FastGlioma demonstrates a mere 3.8 percent miss rate, marking a significant advancement.
The development of FastGlioma by researchers at the University of Michigan and the University of California, San Francisco, represents a state-of-the-art innovation in brain cancer treatment.
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