Home → News → AI May Help Identify Patients with Early-Stage Dementia → Full Text

AI May Help Identify Patients with Early-Stage Dementia

By The Wall Street Journal

November 12, 2020

[article image]


Scientists are exploring whether artificial intelligence can help clinicians better identify patients with early-stage dementia, with researchers and companies testing machine learning (ML) for mining and extracting meaning from vast, diverse datasets.

Much research involves sifting through electronic-health records to determine what combination of risk factors most accurately reflects cognitive decline.

A U.S. National Institute on Aging-funded study analyzed electronic records of more than 16,000 medical visits of 4,330 participants in a Kaiser Permanente Washington health system.

The researchers' model identified 31 factors associated with cognitive decline, flagging more than 1,000 visits leading to a dementia diagnosis.

Other studies have gauged written speech patterns for indicators of mental deterioration, and distinguished between cognitively impaired and healthy individuals; ML also has been used to forecast a patient's long-term dementia outcome, based on certain disease biomarkers.

From The Wall Street Journal
View Full Article - May Require Paid Subscription

 

Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA

0 Comments

No entries found