Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 53,091 to 53,100 of 225,548 articles

Real-world performance of an AI system for diabetic retinopathy screening.

Scientific reports
Diabetic retinopathy (DR) is a leading cause of preventable blindness, and the growing global burden of diabetes is placing increasing pressure on ophthalmic services. Artificial intelligence (AI)-based retinal image analysis offers a promising strat... read more 

A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba.

Scientific reports
Accurate delineation of skin lesions in images is important for skin cancer detection. Existing methods often struggle with inherent complexities, such as irregular boundaries, textures, and artefacts in skin lesions. The study proposes a hybrid mode... read more 

Machine learning to infer neurocognitive testing scores among adolescents and young adults with congenital heart disease.

Communications medicine
BACKGROUND: Congenital heart disease (CHD) affects about 1% of births and is linked to differences in thinking and learning. Understanding how birth, genetic, clinical, and environmental factors together explain cognitive variability can inform monit... read more 

A lightweight convolutional neural network architecture for violence detection in video sequences.

Scientific reports
The escalation of violent incidents in high-density public environments such as political assemblies, concerts, and sports arenas necessitates the development of computationally efficient and accurate real-time violence detection frameworks. Prompt i... read more 

Intraoperative biopsy imaging of lung cancer risk.

Communications medicine
BACKGROUND: Before surgical resection of lung tumor, intraoperative biopsy is needed for cancer diagnosis, while current techniques that guide biopsy have limited performance in tumor identification and boundary determination. Remodeling of extracell... read more 

Machine learning-enhanced multi-band metamaterial sensor for early detection of neurological disorders.

Scientific reports
This study presents a square enclosed double octagonal shaped metamaterial absorber for the detection of initial neurological conditions. The size is very compact ([Formula: see text]) and achieves an absorption value over 99% for frequencies of 4.63... read more 

Adaptive MPPT control for reliable transitions between grid connected and islanded operations in PV battery microgrids.

Scientific reports
To maximize photovoltaic (PV) energy extraction, this study proposes a novel hybrid maximum power point tracking (MPPT) method that combines artificial neural networks (ANNs) with particle swarm optimization (PSO). The ANN-PSO controller is integrate... read more 

OpenMetabolics: estimating energy expenditure using a smartphone worn in a pocket.

Communications engineering
Physical inactivity is the fourth largest cause of global mortality. Health organizations have requested a tool to objectively measure physical activity because many specific and causal relationships between activity and health outcomes are not clear... read more