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 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 ...

Melkani envisions using deep learning-assisted studies to explore cardiac mutation models and other small animal models, such as zebrafish and mice. “Additionally, our techniques could be adapted for ...

This study examined the accuracy of machine learning using stress CMR and clinical data to predict 10-year all-cause mortality in patients with suspected or known coronary artery disease, and ...

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).

Hybrid imaging: A 70-year-old patient presented with diffused largely non-calcified disease (centre panel in red) in the left anterior descending (LAD) artery and demonstrated increased 18 F-NaF ...

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 ...

Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 07 ...