Nowadays, AI Can Detect Heart Failure Risk 

Researchers at the University of Dundee School of Medicine were able to channel the AI capability of early heart failure risk detection.

Researchers at the University of Dundee School of Medicine were able to channel the AI capability of early heart failure risk detection.  

It is well known that heart and circulatory disease are the main causes of death around the world, claiming that one of three people die each year. Researchers in Scotland have tested the AI capability in providing benefits for people at risk of heart failure. 

Using AI for the Sake of the Heart 

Researchers at the University of Dundee’s School of Medicine were able to access data voluntarily provided by participants of the Scottish Health Research Register and Biobank (SHARE) and assess a set of data for 578 individuals.  

The team used people’s electronic health records and echocardiography heart scans to integrate them to the AI system, with the aim to analyze them and identify those with heart failure more effectively and accurately.  

The findings of this research were published in the journal ESC Heart Failure. 

As a second step, researchers employed AI deep learning to examine the images and identify the anomalies that could put patients at a higher risk of heart failure. 

Professor Chim Lang stated, “Our research represents an advancement in the utilization of deep learning to automatically interpret echocardiographic images. 

This can allow us to streamline the identification of patients with heart failure at scale within electronic health record datasets.” 

He also added that Echocardiography scans that are adjusted by AI capability can provide physicians with more detailed parameters that are usually not detected in traditional in heart scans, stating, “This has potential clinical and research implications as it could enhance the efficiency and speed of patient selection for pragmatic clinical trials, as well as improving heart failure surveillance and early diagnosis across hospital systems.” 

Meanwhile, experts highlight that heart failure is a very common condition that is often misdiagnosed, where the heart is unable to pump blood efficiently throughout the body. This condition could be controlled by a change of lifestyle, surgery, or medication, yet it is a progressive and severe one. 

In a report published on January by the British Heart Foundation (BHF), findings showed that heart and circulatory diseases have led to the death of approximately 20.5 million in 2021 globally, which means that every 1.5 second a person dies. 

A Sign of Hope 

Professor Lang’s research offers a sign of hope for the future of heart failure diagnosis. “By assessing vast amounts of patient records, we have detected structural and functional anomalies that would elude traditional analysis,” he explained. This innovative use of deep learning of AI capability applied to biobank resources could lead to a new era of heart failure diagnosis and treatment, potentially benefiting patients on a global scale. 

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