Artificial intelligence tool helps predict Alzheimer’s disease 6 years before diagnosis

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This March 23, 2017 photo provided by the Sunnybrook Health Sciences Centre shows brain scans of patient Rick Karr as staff members treat him at the facility in Toronto, Canada. Karr was the first Alzheimer’s patient treated with focused ultrasound to open the blood-brain barrier. Scientists are using ultrasound waves to temporarily jiggle an opening […]

Artificial intelligence could help doctors diagnose Alzheimer’s disease years in advance.

Getting a timely diagnosis of Alzheimer’s disease has proven to be a challenge, however, advancements in artificial intelligence have made it possible for large amounts of imaging data to be easily processed.

Researchers from the University of California recently reported in the scientific journal Radiology that a deep learning algorithm was developed that uses the imaging data from over 1,000 patients with Alzheimer’s and can effectively predict the presence of the disease over six years before a physician’s diagnosis.

The researchers say their results will help identify symptoms of Alzheimer’s before they are apparent and when it is usually too late to intervene.

The team hopes to next train the deep learning algorithm so it recognizes additional traits specifically linked to Alzheimer’s such as abnormal protein clumps within the brain.

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