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

Scientists from Google and its health-tech subsidiary Verily have discovered a new way to assess a person’s risk of heart disease using machine ... As with all deep learning analysis, neural ...

A study by scientists shows machine learning models improve prediction of heart disease in women ... improve early detection of disease,”. Using the machine learning models, the scientists ...

Melkani envisions using deep ... heart models, providing valuable insights into cardiac health and disease. Incorporating uncertainty quantification methods could further enhance the reliability of ...

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 that uses a single chest X-ray to predict the 10-year risk of death from a heart attack ... of cardiovascular disease risk using existing chest ...

Software developed using machine learning can be used to predict someone’s risk of heart disease in less than a minute by analyzing the veins and arteries in their eye. The new research ...

Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep ... the machine learning approach can predict cardiac aging ...