Doctors can tell if you have cardiovascular disease by listening to your VOICE –

One study suggests that doctors can pinpoint the risk of heart attack by listening to the way they talk in patients with cardiovascular disease.

By looking for clues in audio recordings, a computer algorithm was able to identify heart disease patients at highest risk of serious complications.

Small changes in the frequency, pitch, or pitch of a person’s birth — undetectable by the human ear — contain clues to heart health, the researchers said.

The exact reason why sound is affected by heart health is unknown, but doctors believe it has to do with how the nervous system regulates unconscious bodily functions such as the larynx, blood pressure, and heart rate.

The researchers found that those who scored “high” on the AI ​​sound rating were two and a half times more likely to suffer from cardiovascular disease complications, such as a heart attack.

We hope this technique could one day become another tool for identifying people at risk for heart disease, one of Britain’s biggest killers.

Researchers from the Mayo Clinic in the United States tested a trained algorithm to analyze more than 80 aspects of the human voice, such as amplitude, pitch, and cadence.

They asked 108 patients with X-ray coronary artery disease, with an average age of 60, to record three 30-second audio samples on a smartphone.

The first example was reading from a script, while the other two exercises asked to talk freely about a positive and negative experience.

Each person was then classified by the algorithm as “high risk” or “low risk” for heart disease.

The researchers, who will formally present their findings next month at the American College of Cardiology’s 71st annual scientific session in Washington DC, then followed the participants for two years.

The researchers found that 58.3% of high scores visited the hospital during this time due to chest pain or a heart attack, compared to just 30.6% of low scores.

This meant that people with high scores were 2.6 times more likely to suffer from what doctors consider to be serious coronary heart disease problems than people with low scores.

Higher scores were also three times more likely to show signs of fatty deposits in their arteries on medical tests.

In coronary artery disease, the main blood vessels that supply blood to the heart are narrowed due to the buildup of fatty deposits.

When these deposits rupture and cause a blood clot that blocks blood flow to the organ, it can lead to heart attacks.

A high-fat diet, smoking, and conditions such as high blood pressure and diabetes can increase the risk of developing coronary heart disease.

Lead author of the study, Dr. Jaskanwal Sara, a Mayo Clinic cardiologist, said that if more sound analyzes were developed, they could provide a non-invasive and cost-effective way to identify patients at risk for coronary heart disease.

“We do not suggest that speech analysis technology will replace doctors or replace existing healthcare modalities,” he said.

“However, we think there is a great opportunity for audio technology to complement existing strategies.

“Audio preview is very intuitive and even fun for patients and could become a scalable tool for us to improve patient management.”

Dr. Sara says much more research needs to be done on using speech analysis to assess heart health before it can be used clinically.

Specifically, more work is needed to determine if the findings can be replicated across different languages ​​and accents, he said.

It’s not the first time patients’ voice models have been used to assess heart health, but unlike the most recent study, the research was done retrospectively after patients had experienced problems like heart failure.

Similar research has sought to use subtle changes in defect patterns to detect conditions like Parkinson’s and Alzheimer’s, and even conditions like Covid infection.

Coronary heart disease affects more than 1.6 million men and one million women in the UK and a total of 15 million adults in the US. It kills 64,000 British and 360,900 Americans a year.