AI Predicts Heart Attack Risk a Decade in Advance Through Multimodal Diagnostics

A study highlights how multimodal diagnostics powered by artificial intelligence ( AI ) can detect the risk of heart attack up to 10 years before the onset of symptoms.

This identification is achieved through the integration of multiple data modalities (medical images, laboratory tests, and electronic health records), which allow for the estimation of biological age, rate of aging, and risk of adverse events, and the prioritization of preventive interventions before clinical disease manifests.

New AI-powered scans integrate medical data to detect early heart disease signs and enable preventive care, a key focus of the 2026 Longevity World Forum in Madrid

The procedure to detect early signs of a potential future heart attack is performed on an outpatient basis, lasting less than an hour, using an AI-powered scanner. This scanner accurately identifies the presence, quantity, and type of plaque in the coronary arteries, including soft plaque—a less dense and more vulnerable type of arterial deposit that is more likely to rupture and cause blockages—which goes undetected by other imaging tests. As a result, this type of diagnosis allows for early intervention and preventative measures, reducing the likelihood of life-threatening events.

AI helps identify the risk of having a heart attack up to 10 years before the onset of symptoms
This type of AI-powered diagnostics can also be applied to other neurodegenerative diseases or cancers. In pathologies such as lung cancer, studies like the one conducted by researchers at Seoul National University demonstrated the usefulness of AI-powered detection. The goal was to detect malignant nodules without increasing false positives. In a group of 10,476 participants, artificial intelligence improved detection by 0.59% (31/5238) compared to 0.25% (13/5238).

The main advances in preventive medicine for serious diseases such as cancer or neurodegenerative pathologies, as well as the early detection of heart attacks using AI, will be some of the main topics of the fourth edition of the Longevity World Forum , to be held in Madrid from February 18 to 20, 2026. A hybrid world congress, both in-person and online, which will bring together leading scientists, experts and technologists over three days to discuss longevity and healthy aging.

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(Featured image by  engin akyurt via Unsplash)

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First published in iSanidad. A third-party contributor translated and adapted the article from the original. In case of discrepancy, the original will prevail.

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