The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...

An algorithm that reads CT reports can spot and categorize complications of diverticulitis and help predict which patients are likely to have a recurrent episode.

A new study using an advanced "digital twin" artificial intelligence model has found that factors such as loneliness, ...

As Kalshi captures a dominant 89% of the market, a high-stakes legal battle between federal regulators and individual states ...

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

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...

In the past decade, deep learning has increasingly been applied to medical image interpretation, but without consensus as to whether medical practice should change. Many studies show artificial ...