Artificial intelligence can detect the risk of heart attack 10 years in advance!
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CreatorA research conducted in the UK revealed that individuals of artificial intelligence can be effectively used to predict the risk of heart attack in the next 10 years. This important discovery highlights the potential of artificial intelligence in the field of health forecasting and prevention in the future.
With the use of artificial intelligence technology, it is predicted that heart patients can be healed early and saved thousands of lives!
In the UK, a study, funded by the British Heart Foundation and conducted by researchers from the University of Oxford, revealed the potential for predicting the risk of heart attacks in 10 years of artificial intelligence. This research analyzes the results of coronary computer tomography scans with artificial intelligence. He studied whether it is possible to determine clogged or contractions in the veins more effectively.
The risk of severe heart attack is higher than those detected in the veins in the scans. However, research results showed that patients without significant contraction in the veins can also pass deadly heart crises.
As agreed, the number of patients under the risk is twice as compared to patients with significant contraction. Results offer an important perspective that artificial intelligence can develop existing methods in the risk of heart attacks.
Attention to those who come with chest pain!
Research on hospital applicants with chest pain complaint is often relieved and discharged, Prof. Antoniades led team. Prof. Antoniades noted that some patients who are not a sign of any disease in the heart vessels, but sent to their homes, in the next decade, the risk of heart attack is high.
"This study shows that providing physicians a correct risk table can change the treatment process of many heart patients and potentially improve" Prof. Antoniades stressed that the use of artificial intelligence can help prevent thousands of death from heart attacks.
How AI?
Computerized tomography, made for heart disorders of 350 thousand people each year, fails to detect small contractions. In eight hospitals in the UK, 40 thousand patients were analyzed heart tomography followed for 2,7 years.
The researchers predicted the heart attack in eight years using artificial intelligence. Risk scores created by artificial intelligence were presented and 744 patients were determined by physicians to change 45 percent of their treatment plans.
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