Artificial Intelligence Diagnoses Alzheimer’s With 90% Accuracy

Artificial intelligence technology continues to be used in a new field every day. Researchers now also; used machine learning and deep learning methods in a study of Alzheimer’s disease, which has about 40 million patients worldwide.

Alzheimer’s is a neurological disease. However, as a result of the work done so far No definitive treatment has yet been found. Because it is a memory related disorder, early diagnosis is very important.

Study findings by researchers from the Massachusetts Alzheimer’s Disease Research Center Investigative Systems Biology Center; artificial intelligencein early detection of Alzheimer’s demonstrated that it can be used.

Artificial intelligence detected the risk of disease with 90.2% accuracy.

The research team studied lots of data and algorithms and trained an AI to detect Alzheimer’s. Later, this artificial intelligence collected from various hospitals MRI images of patients with and without Alzheimer’s disease shown.

at risk of disease A total of 11,103 out of 2,348 patients and Alzheimer’s disease 26,892 out of 8,456 patients MR image was collected. Artificial intelligence, as a result of its calculations with 90.2% accuracy identify people at risk for the disease.

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