Can AI help in diagnosing Alzheimer’s disease?

A team at Kangwon National University in Chuncheon, South Korea, developed and tested machine-learning models for classifying stages of Alzheimer’s disease using details from patient F-18 flortaucipir PET images. The algorithms performed well and could be helpful for clinicians diagnosing the disease, suggested first author Dr. Sang Won Park and colleagues.

“A more substantial application of this technology can be for determining whether a [cognitively unimpaired] patient will be classified with [mild cognitive impairment],” the group noted.

PET scans play a pivotal role in staging…

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