Tool to diagnose stroke

Tool to diagnose stroke

1. According to a study, researchers have developed a machine learning model to aid in, and potentially speed up, the diagnostic process by physicians in a clinical setting.
2. A new tool created by researchers could diagnose a stroke based on abnormalities in a patient’s speech ability and facial muscular movements, accuracy within minutes from an interaction with a Smartphone.
3. To train the computer model, the researchers built a dataset from more than 80 patients experiencing stroke symptoms at Houston Methodist Hospital in Texas.
4. Testing the model on the Houston Methodist dataset, the researchers found that its performance achieved 79 percent accuracy compared to clinical diagnostics tests such as CT scans.

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