Although the vocal change is so subtle that humans cannot hear it with a normal ear, scientists have created an algorithm that correlates with artificial intelligence She can pick up small differences in speech and voice, according to the newspaper "telegraph" British.
In their study, the researchers selected a group of 108 people at high risk of infection heart diseaseNearly six in 10 of those who scored high on the vocal risk scale ended up in hospital within two years, compared to just three in 10 of those with lower scores.
Also, people who scored high were 2.6 times more likely to have problems with coronary arteryand 3 times more likely to form plaques in the arteries of the heart and consequently to exposure to clots, compared to individuals whose scores were low on the acoustic risk scale.
Speaking about this experience, Dr. Jaskanwal Deep Singh Sara, a cardiologist, said: "Mayo Clinic" The lead author of the study: "This technology uses machine learning to identify something that cannot easily be quantified for us using our human brains and ears".
Singh Sara considered that this technology will enable in the future to monitor people most at risk of heart disease remotely, and to assess the most serious cases.
و :ضاف: "We do not suggest that doctors replace voice analysis technology to present HealthcareHowever, we believe that there is a great opportunity for audio technology to serve as an adjunct to existing treatment and medical approaches".
He concluded: "Providing an (audio sample) is fun for patients, and this technology may be further developed to enhance protection methods for people most vulnerable to heart-related injuries.".
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Researchers at the Mayo Clinic in the United States indicated that when people suffer heart problems Alarming, it can be detected in their voices.
Although the vocal change is so subtle that humans cannot hear it with a normal ear, scientists have created an algorithm that correlates with artificial intelligence It can pick up small differences in speech and voice, according to the British newspaper, “The Telegraph”.
In their study, the researchers selected a group of 108 people at high risk of infection heart diseaseNearly six in 10 of those who scored high on the vocal risk scale ended up in hospital within two years, compared to just three in 10 of those with lower scores.
Also, people who scored high were 2.6 times more likely to have problems with coronary arteryand 3 times more likely to form plaques in the arteries of the heart and consequently to exposure to clots, compared to individuals whose scores were low on the acoustic risk scale.
“This technology uses machine learning to identify something that can’t be easily quantified for us using our human brains and ears,” said Dr. Jaskanwal Deep Singh Sara, a cardiologist at the Mayo Clinic and lead author of the study.
Singh Sara considered that this technology will enable in the future to monitor people most at risk of heart disease remotely, and to assess the most serious cases.
He added, “We are not suggesting that doctors replace voice analysis technology to provide HealthcareHowever, we believe there is a significant opportunity for audio technology to serve as an adjunct to existing treatment methods.”
He concluded, “It is interesting to present (audio sample) to patients, and this technology may be further developed to enhance methods of protecting people who are most vulnerable to heart-related injuries.”