Predict heart attacks and strokes through AI

Predict heart attacks and strokes through AI

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How reliable is an AI to predict stroke and heart attack?

Artificial intelligence (AI) has now been used for the first time to measure blood flow instantly and accurately. The results show that the AI ​​is able to effectively predict the risk of premature death, heart attack and stroke.

The latest study by University College London (UCL) found that an AI is reliably able to predict the risk of heart attacks and strokes. The results of the study were published in the English-language journal "Circulation".

Heart disease leading worldwide cause of premature death

Heart disease is the leading cause of premature death worldwide. Decreased blood flow, which is often treatable, is a common symptom of many heart diseases. International guidelines therefore recommend a series of tests to measure blood flow, but many of them are invasive and risky. AI could enable doctors to make an early diagnosis.

Problems from other methods of prediction

There are non-invasive blood flow measurements, including cardiovascular magnetic resonance imaging, but so far it has been incredibly difficult to analyze the scan images so precisely that a prognosis or treatment recommendation was possible.

Blood flow to the heart muscle was immediately quantified precisely

In the largest study of this type to date, which was funded by the British Heart Foundation, the researchers used routine magnetic resonance imaging scans of more than 1,000 people and used a new automated artificial intelligence technique to analyze these images. As a result, the research group was able to precisely and immediately quantify the blood flow to the heart muscle and forward the measured values ​​to the medical teams treating them.

Decreased blood flow can have dangerous consequences

By comparing the blood flow results generated by artificial intelligence with the health outcomes of each participant, the team found that people with reduced blood flow were more likely to have adverse health outcomes, such as a heart attack, stroke and heart failure, or premature death.

AI more reliable in forecasting

For the first time, the AI ​​was able to show that it is able to predict which patients will die or suffer major adverse health incidents, better than medical professionals with traditional approaches.

AI has impressive predictability and reliability

The predictability and reliability of the AI ​​was impressive and easy to implement as part of a patient's routine care. "The calculations were carried out while people were being scanned and the results were immediately communicated to the doctors," says study author Dr. Kristopher Knott of University College London in a press release. Because poor blood flow is treatable, these better predictions ultimately lead to better patient care and new insights into how the heart works

Optimizing patient care with AI

The study shows the growing potential of artificial intelligence-supported imaging technology to improve the detection of heart disease. The results could bring us closer to a precise medical approach to optimize patient care. Hopefully this will save many lives in the future, according to the research team. (as)

Author and source information

This text corresponds to the requirements of the medical literature, medical guidelines and current studies and has been checked by medical doctors.


  • Kristopher D. Knott, Andreas Seraphim, Joao B. Augusto, Hui Xue, Liza Chacko et al .: The Prognostic Significance of Quantitative Myocardial Perfusion: An Artificial Intelligence Based Approach Using Perfusion Mapping, in Circulation (published 02/14/2020), Circulation
  • World first in AI helps scan heart disease patients to predict heart attacks and stroke, NHS Barts Health (Posted 02/14/2020), NHS

Video: CDC Grand Rounds: Preventing A Million Heart Attacks and Strokes: A Turning Point for Impact (June 2022).