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 ...

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 ...

Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

NEW YORK, NY, UNITED STATES, March 26, 2026 /EINPresswire.com/ -- As international financial systems continue to become ...

A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...