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 ...

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

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

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 .

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

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

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.

Delirium, commonly observed in critically ill patients following intracerebral hemorrhage (ICH), is an acute neuropsychiatric disorder characterized by disturbances in attention, consciousness, and ...

Delirium, commonly observed in critically ill patients following intracerebral hemorrhage (ICH), is an acute neuropsychiatric disorder characterized ...