The great majority of the public believe that larger banks are in a much better financial position since the Great Financial ...

AI enhances breast cancer care by improving mammography accuracy, reducing false negatives, and aiding in clinical trial enrollment and design. AI-driven digital patient profiling reduces placebo use ...

An app that uses an AI model to read a single-lead ECG from a smartwatch can detect structural heart disease, researchers ...

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

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 .

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

Tuberculosis (TB) continues to be one of the world's leading causes of infectious disease-related illness and death. Despite ...

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

New research confirms that an artificial intelligence (AI) model trained on millions of electrocardiograms (ECGs) serves as a ...

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

Early-life allergen exposure may stimulate the immune system, suggesting that avoiding allergens may be a flawed allergy prevention strategy.

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