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Truck Accident Attorney San Antonio Kinza Tech

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Cover Story (view full size image): Accurately predicting stroke recovery outcomes, as measured by the modified Rankin Scale (mRS), from CT scans of the brain remains challenging but clinically important. We tested deep learning models to predict a patient’s mRS three months after the stroke. We tested imaging-only models that predict directly from CT scans, as well as hybrid models that incorporate clinical and demographic information and imaging data. In hybrid models, we first extract quantitative image descriptors that characterize stroke damage from CT scans using deep learning. These image features were then integrated into machine learning models to make predictive predictions. This approach can help overcome the challenges of the image-only approach and make the resulting model more interpretable. Check out this fabric