And the program, based on artificial intelligence, can detect early signs that a person is facing the possibility of a heart attack or stroke caused by diseases in the vital muscles of the body.
Experts explain that people who are most at risk have a layer of fat, cholesterol and other substances stuck to the walls of the arteries.
When the arteries become narrowed or hardened, it makes it difficult for blood to flow to and from the heart muscle, and then the risk increases.
In the United States, for example, health data indicate that more than 20 million people suffer from coronary artery disease, which kills a large number of Americans every year.
Atherosclerosis is usually diagnosed through blood tests for cholesterol that may take time, and may require payments that some find a bit high.
The risk of dying from a heart condition is being estimated, based on several factors such as age, sex, race, blood pressure, smoking, diabetes and other blood tests.
But researchers specializing in radiology at Massachusetts General Hospital, along with experts from the artificial intelligence program at Birmingham Hospital in Boston, looked for an easier way.
The researchers developed a machine that could analyze X-ray images to assess risk, and then trained it by providing it with more than 147,000 images from more than 40,000 participants who underwent medical examinations.
At a later stage, the researchers tested their method, by resorting to images taken from more than 11,000 patients who could take medication to prevent heart disease complications.
The study noted that approximately 10 percent of the 11,000 sample had a heart disorder during the following decade, and then it was surprising that the artificial intelligence-based method was correct in its predictions.
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According to the British newspaper “Daily Mail”, the program depends on Artificial intelligence He can spot risks heart diseaseDepending on the X-ray pictures alone
And the program, based on artificial intelligence, can detect early signs that a person is facing the possibility of a heart attack or stroke caused by diseases in the vital muscles of the body.
Experts explain that people who are most at risk have a layer of fat, cholesterol and other substances stuck to the walls of the arteries.
When the arteries become narrowed or hardened, it makes it difficult for blood to flow to and from the heart muscle, and then the risk increases.
In the United States, for example, health data indicate that more than 20 million people suffer from coronary artery disease, which kills a large number of Americans every year.
Atherosclerosis is usually diagnosed through blood tests for cholesterol that may take time, and may require payments that some find a bit high.
The risk of dying from a heart condition is being estimated, based on several factors such as age, sex, race, blood pressure, smoking, diabetes and other blood tests.
But researchers specializing in radiology at Massachusetts General Hospital, along with experts from the artificial intelligence program at Birmingham Hospital in Boston, looked for an easier way.
The researchers developed a machine that could analyze X-ray images to assess risk, and then trained it by providing it with more than 147,000 images from more than 40,000 participants who underwent medical examinations.
At a later stage, the researchers tested their method, by resorting to images taken from more than 11,000 patients who could take medication to prevent heart disease complications.
The study noted that approximately 10 percent of the 11,000 sample had a heart disorder during the following decade, and then it was surprising that the artificial intelligence-based method was correct in its predictions.
