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AI can predict cancer patient survival rates


A team of researchers at the University of British Columbia has developed a new AI model that can read doctors’ notes and predict cancer patient survival rates over 60 months with 80% accuracy. By identifying unique characteristics, the model can predict survival with good accuracy. This is an important factor that can improve cancer care, whether it points doctors towards earlier referrals or more aggressive treatment upfront.


In the past, cancer survival rates are calculated retrospectively and categorized by generic factors. This can make it difficult to predict an individual’s survival based on their unique characteristics. This model may lead to higher rates of survival for cancer patients as treatment can be tailored to their specific needs.


Read more at Neuroscience News.

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