5 Things to Know About IBM’s AI Predictor for Alzheimer’s Disease

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October 22, 2020

A team of researchers from IBM and Pfizer have designed an AI model that uses small samples of language data (obtained from clinical verbal cognitive tests) to help predict with 71 percent accuracy the eventual onset of Alzheimer's disease within healthy people. [1] The research, published today in The Lancet eClinicalMedicine, advances the quest to predict Alzheimer's in several major ways.

Using a short, non-invasive language sample from a standard verbal cognitive test given to a patient, the new AI model produces valuable predictive feedback significantly better than clinical-scale predictions (59 percent) based on other available biomedical data.