Using AI to provide new insights into why Ebola outcomes differ between patients

There is currently a serious outbreak in the Democratic Republic of the Congo of the severe and often fatal illness. Symptoms ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

AI unlocks previously invisible cortical lesions in MS using legacy MRI scans

One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the ...
IEEE

DrowsiGuard: Machine Learning-Based Driver Drowsiness Detection System for Enhanced Road Safety

Abstract: Drivers need to stay focused on the road to respond quickly to unexpected situations. Fatigue is a significant factor in many traffic accidents. Therefore, it's important to have measures ...
IEEE

Real-Time Driver Drowsiness Detection and Alert System Using YOLO11 on a Jetson Nano

Abstract: Driver drowsiness is a major contributor to traffic accidents, emphasizing the need for reliable real-time detection and alert systems. This paper presents the development of a driver ...