Advanced MRI radiomics pinpoints aggressive spinal tumour regions to predict outcomes. Learn how this could guide ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Background and objectives Delirium, commonly observed in critically ill patients following intracerebral hemorrhage (ICH), is ...

No differences seen among one-, two-, and three-year interval cancer predictions, age quartiles, or breast densities.

A tool combining CV risk score (CVRS) and coronary artery calcium score (CACS) facilitates stratification of patients with COPD at risk for MACE.

Objective The left atrial stiffness index (LASI) has been proven to be a promising marker for assessing left atrial (LA) and ...

Simple information already gathered during routine well-baby visits could help clinicians spot which infants are at risk for persistent developmental delays, without the need for complex testing.