AI model can detect Alzheimer’s disease with over 90 per cent accuracy, new research finds – CTV

March 5, 2023

A new study published in PLOS ONE by a team of researchers from Massachusetts General Hospital (MGH) has revealed a way to leverage artificial intelligence to detect Alzheimer’s more easily.

Using deep learning, which has already been shown to successfully detect multiple diseases in data from high-quality brain magnetic resonance images (MRIs) collected in a controlled research setting, they were able to detect risk of Alzheimer’s with an accuracy of 90.2 per cent, based on routinely collected clinical brain images.

“Alzheimer’s disease typically occurs in older adults, and so deep learning models often have difficulty in detecting the rarer early-onset cases,” said study co-author Matthew Leming in a press release.

“We addressed this by making the deep learning model ‘blind’ to features of the brain that it finds to be overly associated with the patient’s listed age.”

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