An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...

Researchers from New York City-based Mount Sinai have developed an AI algorithm to help physicians identify patients with hypertrophic cardiomyopathy by assigning a numeric probability risk assessment ...

Learn how an AI tool boosts cardiac CT accuracy and mildly improves prediction of heart attack risk. Learn more.

The potential of big data analytics (BDA) to transform the prevention, diagnosis, and treatment of cardiovascular diseases ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially ...

The following is a summary of “Development and External Validation of a Detection Model to Retrospectively Identify Patients ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

Through The Written Owl, Sai Shashank Mudliar’s story is more than a tale of technical mastery—it’s a testament to ...