By coupling a machine learning model with a patient's pulse data, ... Through a prospective study using 4,798 patients, ... (2018, April 17). Using AI to detect heart disease. ScienceDaily.

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 disease (CHD).

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

Using machine learning, the researchers determined that of the tested metrics, EKGs were most effective at improving the detection of cardiovascular disease in both men and women. This, however, does ...

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.

Study: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.Image Credit: Summit Art Creations/Shutterstock.com. Background. Heart disease is a ...

The researchers therefore set out to look into the feasibility of using thermal imaging plus AI to accurately predict the presence of coronary artery disease without the need for invasive, time ...

Study aims to develop a machine learning model to predict cardiovascular disease using indicators of oral infections Mar 17, 2023 ECG-based AI model can predict undiagnosed structural heart disease ...