Artificial intelligence taught to diagnose heart disease

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Scientists from the Stevens Institute of Technology in the United States have taught artificial intelligence to diagnose heart disease. Artificial intelligence listens to the audio recording of the heart rhythm and analyzes faint sounds that may indicate the presence of disease. Research results published In IEEE Xplore Electronic Library (EEEXplore).

When the doctor listens to the heart with a stethoscope, he may not hear murmurs that indicate a problem in the organ. Scientists have developed a technology that eliminates the need to rely on human hearing during examinations. Artificial intelligence analyzes audio recordings that record all the sounds accompanying the heart’s work.

Researchers have already tested the new tool: The artificial intelligence was able to detect heart valve disease within seconds.

By analyzing the sound signal, the technology can detect five different diseases with 93% accuracy, even if they coexist.

The authors noted that heart defects often go undetected due to medical errors. Since the new diagnostic method is very accurate, it may become widespread. Now researchers are trying to improve the technology.

Previous scientists defined A new kind of cardiovascular disease.

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