A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with ...

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...

Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...