Using AI to detect heart disease Researchers apply machine learning to create a quick and easy method for measuring changes linked to cardiovascular disease Date: April 17, 2018 Source: University ...

Image by Rima Arnaout The team, led by UCSF cardiologist Rima Arnaout, MD, trained a group of machine-learning models to mimic the tasks that clinicians follow in diagnosing complex congenital heart ...

A study by scientists shows machine learning models improve prediction of heart disease in women and that sex-specific and patient-specific medicines are future of healthcare.

Doctors have long called hypertrophic cardiomyopathy (HCM) “the great masquerader. ” It hides in plain sight, often mistaken ...

Now, scientists have used machine learning to build new and improved models, which could especially improve risk prediction for women. They also found that for certain heart conditions, women are ...

Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and high-speed video microscopy.

Uhler said this project is a good example of how innovations in biomedical data analysis emerge when machine learning researchers collaborate with biologists and physicians.

A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.