Researchers at the Massachusetts Institute of Technology (MIT) have created a program able to detect accurately and automated various cognitive disorders. A useful tool for the early diagnosis of diseases such as Alzheimer tool.
Several cognitive disorders such as Parkinson or the Alzheimer began long before become apparent in everyday life, that is why early detection of these disorders on time would improve the living conditions of those affected.
To do researchers they used data collected at the Lahey Hospital, a doctor outside of Boston, who for nine years performing the test clock center using a digital pen capturing on computer drawings by patients, in addition to recording the process of creating them with great precision.
In the clock test the patient must draw a clock that should mark a certain time, and also to copy one already drawn . The observation of changes in how these drawings allows physicians to identify signs of deterioration in the brain of the patient.
In this way the data a program was created computer can automatically interpret and evaluate the test clock, increasing accuracy and eliminating the subjectivity of an assessment made by humans.
” We have improved the analysis, so that is automatic and objective. With the right equipment you can get a faster and more accurate result, “said Cynthia Rudin, responsible for research.
The different patterns revealed for example that it is normal for healthy adults spend more time thinking drawing, when the memory is affected, the cooling off period is extended
Moreover., in the case of Parkinson , patients tend to need more time to draw watches which, in turn, tend to be smaller, suggesting that is costing them more effort to perform the task.
These considerations could be overlooked in the traditional test because, on many occasions, the doctor does not see in detail how the patient performs the drawing, but only the final result.
This work not only allows diagnose best a series of very serious diseases for whom They are suffering, but also offers an advance in automating processes that can be tedious and inefficient when performed by humans.
Now scientists are working on developing a system that can easily be implemented in hospitals and health centers
Reference:. MIT
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