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.

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

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

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

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

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

A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.

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

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

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...