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 ...
The notion that an AI system would be able to predict over a thousand diseases years before onset seems almost science ...
Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
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 ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Artificial intelligence is rapidly reshaping preventative healthcare in South Africa, offering new ways to detect disease ...
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 ...
1 Department of Endocrinology, Hainan Provincial People’s Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China 2 Department of Medical Record Management, Hainan ...