In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease ... model training on representative datasets, including deep learning using the ...

Some approaches rely on transfer learning, a technique wherein an ML model is learned from a pre-training dataset that is later used to study a smaller dataset. While more modern deep learning ...

“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 ...

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 ...

Scripps Research study combines AI, genomics, and health records to create personalized heart attack risk predictions. ABC ...

Melkani envisions using deep learning ... disease continues to be one of the leading causes of death and disability in the United States. Melkani and UAB colleagues assessed their trained model on ...

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 ...

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 ... predict ...