Artificial Intelligence Medical Compendium

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

Showing 52,911 to 52,920 of 225,341 articles

Machine learning model provides stress biomarkers for the classification of abiotic stress in Micro-Tom.

Scientific reports Feb 6, 2026
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A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba.

Scientific reports Feb 6, 2026
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 Feb 6, 2026
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 Feb 6, 2026
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 Feb 6, 2026
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 Feb 6, 2026
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 Feb 6, 2026
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 Feb 6, 2026
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 

Evaluation and application of electrocardiographic age model for children.

Scientific reports Feb 6, 2026
ECG-age, derived from ECG signals using deep neural networks (DNNs), correlates with health status but has been predominantly studied in adults, neglecting the unique development trajectories of pediatric hearts. This study evaluates and proposes a p... read more 

STAR (stroma-tumor AI risk) assessment: association of AI-derived tumor-stroma proportion with patient survival provides added prognostic value beyond KELIM in epithelial ovarian cancer.

BJC reports Feb 6, 2026
BACKGROUND: There remains a critical need for prognostic biomarkers of treatment response in epithelial ovarian cancer (EOC). The KELIM score, derived from the rate of CA-125 elimination during the first 100 days of treatment, is a clinically availab... read more 
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