The algorithm advances 6 years of diagnosis of Alzheimer's

The alzheimer It is a progressive disease that destroys memory and other important mental functions. Originally, a person with Alzheimer's disease may experience mild confusion and trouble remembering things. Over time, people with this disease can forget important people for themselves and have profound personality changes.

Generally the Diagnosis of Alzheimer's This is done when the disease is at a very advanced stage, making it impossible to treat symptoms because the disease does not have a cure.

However, a group of radiologists from the University of California at San Francisco has developed a algorithm what can prediscover the disease 6 years before to be diagnosed by the symptoms.

The artificial intelligence has been trained in prediction by positron emission tomography, its creators say it has a 100% efficiency.

This technology will help provide timely treatment to patients to delay the onset of symptoms and allow researchers to find better ways to slow down or stop the development of the disease.

"If we diagnose Alzheimer's disease when all the symptoms have occurred, the loss of brain volume is so great that it is too late to intervene," he said. "If we can detect it earlier, researchers will have the opportunity to find better ways to slow down or even stop the disease process," said co-author of the study, Jae Ho Sohn, in a statement from the Radiological Society of North America.

The study, led by university professor Benjamin Franc, fueled artificial intelligence with 2,000 brain scanners donated by a society battling Alzheimer's disease. The algorithm was formed in 90% of the metabolic models data sets that corresponded to Alzheimer's disease. The remaining 10% was used to test the precision of the algorithm.

The algorithm is ready to be put into practice and complements the work of radiologists, reports the journal Radiology