AI was taught to identify a heart attack based on exhaled air


A research group comprised of scientists from the TSU Laboratory of Laser Molecular Imaging and Machine Learning, Siberian Medical University, and Research Institute of Cardiology has developed a new, noninvasive way to diagnose myocardial infarction (heart attack). It analyzes biomarkers in the exhaled breath, a technology developed previously by TSU to identify serious health problems. The researchers taught a computer model to recognize volatile markers and identify one of the most dangerous lethal health conditions. The results are published in Journal of Breath Research (Q2).

“It is very important to quickly identify myocardial infarction, because it is one of the three most lethal conditions,” says Yuriy Kistenev, executive director of the Institute of Biomedicine and head of the Laboratory of Laser Molecular Imaging and Machine Learning. “There are standard techniques to diagnose acute myocardial infarction, ECG analysis and the presence of specific markers in the blood, but these are not always handy. This is why we have tested the possibility of diagnosing acute myocardial infarction based on the exhaled breath.”

As the developers explain, there are molecules in the exhaled air that are a product of human metabolism and indicate various changes occurring in the organism. For example, acute myocardial infarction makes myocardial cells suffocate, which leads to lipid peroxidation. The traces of this reaction in the exhaled air are one of the major biomarkers that help identify acute myocardial infarction.

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