Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

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

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

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

New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

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

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

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

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 ...