Home Uncategorized Australian university researchers will create AI-powered tool that predicts heart disease risk

Australian university researchers will create AI-powered tool that predicts heart disease risk

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A team of researchers at the University of Western Australia is coming up with an artificial intelligence-based risk assessment tool to better detect plaque in heart computed tomography scans.

why it matters

A research team of AI and cardiac imaging experts was recently awarded a grant of AU$896,606 (approximately $695,000) from the government’s Medical Research Future Fund to help predict coronary heart disease risk from cardiac CT scans. a tool to be developed.

In a statement, the UWA said the tool can “determine whether plaque build-up has narrowed the coronary arteries”, identifying patients at risk of adverse cardiovascular events. This departs from traditional methods that have been described as “cumbersome, time-consuming and may have limited accuracy”.

UWA claimed that this approach would enable “more accurate diagnosis and faster reporting, improving the quality and sustainability of patient care” across all aspects of health care.

have coronary heart disease Leading single cause of death in Australia According to the Australian Institute of Health and Welfare, in 2018, 17,500 people lost their lives. It accounted for 42% of all cardiac deaths in the year. The institute noted that an estimated 580,000 adult Australians had the disease in 2017-2018.

big trend

Medical technology firm Artya, the organization that will co-develop the AI ​​tool, recently AU$15 million raised ($11.6 million) to scale up its AI-powered imaging software that accurately detects signs of heart disease, including plaque that is currently difficult to detect.

Meanwhile, in April Caristo Diagnostics It has received the CE mark for its AI technology that can identify people at risk of having a fatal heart attack. Using a coronary CT angiogram scan, the technique is said to accurately measure the swelling of blood vessels in and around the heart.

On the record

Professor Girish Dwivedi, who led the research team, said, “Our artificial intelligence-based risk prediction system will be able to define clusters based on cardiac CT scans and identify patients at risk of heart attack and also those Those who will benefit the most from the treatment.” .

Disclaimer: The opinions expressed within this article are the personal opinions of the author. The facts and opinions appearing in the article do not reflect the views of knews.uk and knews.uk does not assume any responsibility or liability for the same.

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