The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Nanomedicine and advanced drug delivery platforms are reshaping modern therapeutics by enabling targeted, controlled, and tissue-specific delivery of small ...

Objective: To explore the risk factors of cognitive dysfunction in patients with leukoaraiosis (LA) and to construct a predictive model using machine learning. Methods: A total of 273 patients with LA ...

Abstract: Diabetes mellitus (DM) is characterized by hyperglycemia, a chronic illness caused by inadequate insulin synthesis or an abnormal insulin response. Early identification is crucial since the ...

Abstract: Diabetes is a state in which the sugar level in the blood rises due to inadequate supply of insulin in the pancreas or inability of the body to use the insulin effectively. The situation in ...