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Scientists have developed an artificially-intelligent tool capable of predicting in four cases out of five whether people with early signs of dementia will remain stable or develop Alzheimer’s disease.
This new approach could reduce the need for invasive and costly diagnostic tests while improving treatment outcomes early when interventions such as lifestyle changes or new medicines may have a chance to work best.
The machine learning model is able to predict whether and how fast an individual with mild memory and thinking problems will progress to developing Alzheimer’s disease. It is more accurate than current clinical diagnostic tools.
The model also allowed the researchers to stratify people with Alzheimer’s disease using data from each person’s first visit at the memory clinic into three groups: those whose symptoms would remain stable, those who would progress to Alzheimer’s slowly and those who would progress more rapidly.
