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

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

Researchers at Mount Sinai have created an analytic tool using machine learning that they say can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, according to ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung ...

Doctors at Jaslok Hospital in Mumbai are creating an AI-based tool that aims to predict freezing of gait in Parkinson’s ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...