New AI should be able to recognize the risk of heart attack-at the push of a button

The post new AI should be able to recognize heart attack risk-at the push of a button, first appeared at the online magazine Basic Thinking. You can start the day well every morning via our newsletter update.

AI heart pension

How do you recognize an impending heart problem without specifically examining it? The idea of ​​researchers from Australia and Canada: a new AI technology that is supposed to use images of the bone density measurement for a double diagnosis.

Many older people regularly let their bone density measure, for example for control in osteoporosis. Researchers from Australia and Canada Recently discovered that this routine examination can do much more. According to a new AI tool, the risk of heart attacks and strokes can be predicted-without additional tests.

The AI ​​examines images that arise anyway when measuring the bone density. More precisely: so-called VFA images that show the spine. The system can recognize calcification of the abdominal artery on this. This is an early warning sign for possible cardiovascular diseases.

AI should be able to recognize impending heart attacks

So far, doctors have had to laboriously evaluate such pictures by hand. A trained specialist needs around five to six minutes per picture. The new AI, on the other hand, should create thousands of pictures in less than a minute. According to the researchers, the process can also be incorporated into everyday practice.

There was an interesting picture in tests. 58 percent of the women examined over 65 had medium to high calcification values ​​and every fourth knew nothing about their risk. The new technology could therefore help to recognize heart problems earlier, primarily in women who are often under -supplied in this area.

More than a cardiovascular risk

The researchers also found that calcification of the arteries is also related to a higher risk of falls and broken bones. Those who have many calcifications end up in the hospital more often – regardless of other known risk factors.

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So far, vascular health has hardly been included in the assessment of fall risks. However, the new AI makes it clear that that would make sense. Because the system provides double information with a single image: for heart health and the risk of falling.

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As a Tech Industry expert, I believe that the development of AI systems that can recognize the risk of a heart attack at the push of a button has the potential to revolutionize healthcare and save countless lives. By using advanced algorithms and machine learning techniques, these AI systems can analyze a variety of data points such as medical history, vital signs, and genetic markers to identify individuals who may be at high risk for a heart attack.

This technology could be particularly beneficial for individuals with underlying health conditions or a family history of heart disease, as it could provide them with early warning signs and prompt them to seek medical attention before a heart attack occurs. Additionally, these AI systems could also be integrated into wearable devices or smart home technology to continuously monitor an individual’s health and provide real-time updates on their risk level.

However, it is important to approach the development and implementation of this technology with caution. Privacy and security concerns must be carefully considered to ensure that sensitive medical data is protected and used ethically. Additionally, healthcare professionals should be involved in the design and validation of these AI systems to ensure their accuracy and reliability.

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Overall, I believe that the potential benefits of AI systems that can recognize the risk of a heart attack are immense, and with proper safeguards in place, this technology could significantly improve healthcare outcomes and save lives.

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