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Multimodal AI powers cancer treatment, more accurately predicting cancer recurrence probability, survival rates and more
January 15, 2011 - A research team from Stanford Medical School has developed an AI model called MUSK, which combines medical images and text data to accurately predict the prognosis and treatment response of cancer patients. Note: Prognosis is a medical term that refers to the estimation of the possible outcome after treatment based on the patient's current condition, combined with the understanding of the disease, such as clinical manifestations, laboratory results, imaging tests, etiology, pathology, and pattern of the disease, as well as the timing of the treatment, the method, and the new situation that emerges during the process. The highlight of the MUSK model is the breakthrough...- 2.7k