Heart failure: It is easy to detect the risks of heart failure, timely treatment can save lives
Researchers in Israel have developed an AI tool that can predict heart failure with 80% accuracy. This tool uses a type of algorithm that can predict the risk of death in time.
Heart failure: In the year 2022, many people died suddenly due to cases of Sudden Heart Attack, Heart Failure and Cardiac Arrest. People had to lose their lives at a young age due to heart attack during weddings and festivals. This situation continues to be a cause of serious concern for health experts.
However, now it can be treated by detecting the cases of heart failure in time. Scientists have developed an Artificial Intelligence (AI) tool that will alert about such risks with 80 percent accuracy. Initial studies have shown better results of this technique.
According to media reports, researchers in Israel have developed an AI tool that can predict heart failure with 80% accuracy. This tool uses a type of algorithm that can predict the risk of death in time.
Researchers say that by estimating the risk through this tool, the patient will be able to get timely treatment, which will reduce the increasing mortality due to heart diseases.
Heart failure can be predicted
According to information shared about the device, the tool analyzes ECG tests and can predict heart failure weeks in advance with a high degree of accuracy. The team of scientists said that this technique is currently being used for people suffering from myositis (inflammation in the heart muscle). Its good prognostic results have been observed on these patients.
Researchers told that we are doing ECG test through AI model, which can also see the details that doctors often do not recognize and based on this, the risk of heart failure can be predicted.
What do researchers say?
The physician who led the research, Dr. Shahar Shaili, told The Times of Israel that this is the first AI tool designed specifically to look at cardiovascular risks. It analyzes the heart pattern.
ECG scans and medical records of 89 myositis patients from 2000 to 2020 were studied with this AI model. Its algorithms built up a picture of subtle patterns in ECGs that appear to increase the risk of heart failure.
Risks will be estimated in time
The report of this study is yet to be peer reviewed. Researchers say that it has not been used in clinics at the moment. We are doing detailed research on this so that the risk can be estimated at different levels. In the future, the use of this model will be helpful for patients to receive appropriate treatment at an early stage, before their condition worsens. The way increasing cases of death due to heart diseases have been observed globally, it is expected to benefit through this technology.
The team of experts says that early detection is very important in heart failure patients. This technology algorithm is proving to be helpful in detecting cardiac dysfunction easily. Based on the results, doctors can take steps to prevent heart failure. It is expected that we will be able to reduce the death rate due to heart diseases through technology in the future.
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