AI has become a critical tool in diagnosing and managing viral infections such as influenza, respiratory syncytial virus (RSV ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers from Southern Medical University and collaborators report the identification of FDA‑approved compounds that may ...

New research reveals AI tsunami warning systems can improve accuracy if trained on real-world data, and equipped with good ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations ...

Having an accurate estimation for Arkansas’ above ground forest biomass has numerous economic and environmental impacts, Dr.

In Ex parte Michalek, the PTAB evaluated an invention involving medical health technology and artificial intelligence. While ...

A global study shows machine learning improves survival predictions for hospitalised cirrhosis patients, outperforming ...

To assess predictive potential, the researchers applied machine learning models—including gradient-boosted decision trees and ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...