Layla Mohsen, a recent computer science graduate from the American University in Cairo (AUC), shares her journey from ...

When it comes to training artificial intelligence, OpenAI and Babylon Biosciences have shown that experienced hands can help ...

A study recently published in the journal Cerebrovascular Diseases shows that artificial intelligence (AI) may help ...

Lumbar prolapsed disc (LPD) is a leading cause of low back pain, contributing significantly to global disability and healthcare burden. This study aimed to develop machine learning models to predict ...

Detecting atrial fibrillation (AF) from brain scans using AI could support future stroke care, according to a recent study published in the Karger journal Cerebrovascular Diseases.

Researchers used machine learning and UK Biobank data to identify predictors of subjective tinnitus presence and severity.

To develop the combined model, the researchers integrated the imaging-derived radiomics score from the best-performing radiomics model (random forest) with the clinical model.

HealthSecureNet operates through a three-tiered machine learning architecture that combines Gradient Boosting and Support Vector Machines (SVMs) to classify gynecological cancer from clinical data. At ...