Researchers at Alphabet and its research arm Verily Life Sciences have found a way to predict a person’s cardiovascular risk factors using eye scans and deep learning, according to a study ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction ... including deep learning using the MLDCNN approach and AEHOM ...

But an alternative method presented at the Radiological Society of North America’s annual meeting in Chicago this week aims to churn out 10-year heart disease risk scores using only a basic ...

Researchers have developed a deep ... learning model using a single chest X-ray (CXR) input. They developed the model, known as CXR-CVD risk, to predict the risk of death from cardiovascular ...

“To the best of our knowledge, this study is the first to create and validate a deep learning-based classification model for cardiac functions and valvular heart disease using chest radiographs from ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning ... the ...