According to a study, women can get ‘one’ scanning and heart problems for breast cancer.
Technology can be trained to examine mamogram images to detect both tumors and measure the risk of heart attack and stroke.
In addition to individual scanning, trials revealed individual screening, which shows that the bilateral transaction can become a ‘cost -effective’ control way for both conditions.
Women registered to GP in the UK are automatically invited to mammography every three years between the ages of 50 and 71.
Two x -rays are taken from each breast to search for symptoms of cancer. Researchers in Australia developed an AI algorithm based on the images of 49,196 women registered in the Victoria Lifepool Kohort register, the country’s breast cancer research attempt.
The average age of the group was 59, one third took medication for high cholesterol and was 27 percent for high blood pressure.
The purpose of technology was to predict the risk of major cardiovascular disease such as heart attack and paralysis.
Researchers said: ‘Many women are exposed to mid -aged mammography when the risk of cardiovascular disease increases.
Women can scan a ‘one’ for breast cancer and heart problems, a study using AI (stock photo)
Technology can be trained to examine mamogram images to detect both tumors and measure the risk of heart attack and stroke (stock photo)
Mammographic properties such as breast arterial calcification and tissue density are associated with cardiovascular risk.
We have developed and tested a deep learning algorithm for cardiovascular risk estimation based on routine mammography images.
‘An important advantage of the mammography model is that the additional past is receiving or does not require medical record data.’
During the average nine -year average monitoring period, 2,383 women had a heart attack, 731 heart failure and 656 paralysis.
The study, published in Heart magazine, found other traditional calculators using age and clinical variables to evaluate heart risks as well as algorithm.
Researchers added: ‘Routine mamogram and a deep learning algorithm that uses age promises as a cardiovascular risk forecasting tool.
‘Mammography, women’s breast cancer and cardiovascular risk in terms of scanning and wider cardiovascular risk scanning can offer an effective’ one ‘opportunity.
Scientists ‘use of mammography images to estimate the risk of cardiovascular risk is new, but the use of machine learning models to make cardiovascular risk estimation is to gain traction’.
