Kyushu University researchers create an AI model to accurately evaluate surviving tumor cell density in osteosarcoma images, improving patient prognosis prediction.
Researchers at Kyushu University have developed an AI model that accurately evaluates surviving tumor cell density in osteosarcoma images after treatment. This machine-learning model can predict patient prognosis more reliably than traditional methods, which rely on necrosis rate assessment. The AI model assesses individual tumor cell responses to treatment and may improve patient outcomes for bone cancer patients.
April 02, 2024
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