In this modern age, experts are at the forefront of creating amazing things. In this regard, American scientists have created a machine learning app that can assess the condition of a stroke patient through his voice and video.
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| Mobile app to detect paralysis |
Developed jointly by State University and Houston Methodist Hospital. For its preparation, the voices and videos of about 80 stroke patients were first recorded and added to the database.
The data was then passed through machine learning to the Algorithm. When it was tested on paralyzed patients, it accurately predicted the severity of stroke with 79% accuracy, which was confirmed by various tests. Experts say that this app works just like an emergency room
diagnosis. The special thing about this app is that it can indicate whether or not you are paralyzed in four minutes.
According to Professor Sharon Huang, who is doing research on this, this is the first work that can be used to diagnose stroke in an emergency. Facial data and voice are very helpful in this regard and in this way patients sitting at home can assess their condition. In that sense, the app is medically important.