The study, conducted by Israeli doctors, analyzed 97,364 scans from 29,921 women.
They found that 16% of the participants had high blood pressure while 2.5% had coronary heart disease or a history of stroke.
A machine-learning model was trained to identify these conditions and proved successful in doing so with an accuracy of up to 86%.
The study, conducted by Israeli doctors, analyzed 97,364 scans from 29,921 women.
They found that 16% of the participants had high blood pressure while 2.5% had coronary heart disease or a history of stroke.
A machine-learning model was trained to identify these conditions and proved successful in doing so with an accuracy of up to 86%.
