Electrocardiogram tests may someday be used with an artificial intelligence (AI) model to detect premature aging and cognitive decline, according to a preliminary study to be presented at the American Stroke Association's International Stroke Conference 2025.

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Premature aging and cognitive decline could be detected by ECG tests and AI

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Ian Birkby

An artificial intelligence (AI) model designed to predict a person's biological age (age of body cells and tissues) based on electrocardiogram (ECG) data found a strong association between ECG-age and cognitive performance.

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Daniel Hogan

ECG tests may someday be used by AI model to detect premature aging and cognitive decline

Research Highlights: An artificial intelligence (AI) model designed to predict a person’s biological age (age of body cells and tissues) based on electrocardiogram (ECG) data found a strong association between ECG-age and cognitive performance. In an analysis of more than 63,000 people in the United Kingdom, those with accelerated ECG aging had lower cognitive test scores than those with normal aging. Note: The study featured in this news release

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A new study suggests that electrocardiogram (ECG) tests, combined with artificial intelligence (AI), could one day help detect premature aging and cognitive decline. The findings were presented at the American Stroke Association’s International Stroke Conference 2025. Understanding ECG and Its Link to Aging An ECG is a simple test that records the electrical activity of […] The post AI and ECG tests may help detect cognitive decline early appear…

Knowridge Science Report

AI and ECG tests may help detect cognitive decline early

UK Biobank study suggests someone's risk of premature ageing or cognitive decline could be predicted using a simple ECG reading supported by an AI

Pharmaphorum

Could an ECG spot people at risk of cognitive decline?

Researchers have developed an artificial intelligence (AI) model that could potentially use electrocardiogram (ECG) data to detect premature aging and cognitive decline, according to a preliminary study to be presented at the American Stroke Association’s International Stroke Conference 2025. The study analyzed data from over 63,000 participants in the UK Biobank, examining the relationship between ECG-determined biological age and cognitive per…

citybuzz.co

AI Model Uses ECG Data to Predict Cognitive Decline and Premature Aging

DALLAS, Jan. 30, 2025 — In a groundbreaking study, researchers have developed an artificial intelligence (AI) model capable of predicting an individual’s biological age—defined as the age of body cells and tissues—by utilizing data obtained from electrocardiogram (ECG) readings. This innovative approach reveals significant correlations between the so-called “ECG-age” and cognitive capabilities, suggesting that our heart’s electrical activity may…

BIOENGINEER.ORG

Future AI Models Could Utilize ECG Tests to Identify Signs of Premature

HeartBeam (NASDAQ:BEAT) has announced the submission of a 510(K) application to the FDA for its 12-lead electrocardiogram (ECG) synthesis software, designed to analyze diverse cardiac rhythms and arrhythmias, leveraging data from its pivotal VALID-ECG study. The company specified that the software’s capabilities include assessing conditions such as atrial fibrillation, sinus rhythm, bradycardia, atrial flutter, tachycardia, and sinus with premat…

Premature aging and cognitive decline could be detected by ECG tests and AI

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