Artificial Intelligence Medical Compendium

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

Showing 45,361 to 45,370 of 224,055 articles

Wire-form shape memory alloy actuators: modeling, design, and control.

Microsystems & nanoengineering
Wire-form shape memory alloy (WF-SMA) actuators have become integral components in numerous advanced applications ranging from robotics and aerospace to biomedicine thanks to their exceptional energy density, compact architectures and versatile actua... read more 

Intrusion detection with HACDT-Net and TRBM-Net using a hybrid deep learning framework with enhanced sampling techniques.

Scientific reports
Intrusion detection systems (IDS) are becoming essential for protecting network infrastructures due to the quick growth of cyber threats. Class imbalance makes it difficult for conventional machine learning-based IDS models to detect uncommon attack ... read more 

Development and explainable AI-driven characterization of a prognostic model for haploidentical transplantation outcomes.

NPJ digital medicine
We developed a novel, explainable artificial intelligence (AI)-driven prognostic model using a contemporary single-centre cohort of 668 patients undergoing haploidentical hematopoietic cell transplantation (HCT) with post-transplantation cyclophospha... read more 

A cluster-aware synthetic resampling and machine learning framework for multi-class Air Quality Index classification.

Environmental monitoring and assessment
The Air Quality Index (AQI) is a widely used indicator for assessing ambient pollution levels and associated health risks. However, AQI classification using data-driven approaches is often challenged by severe class imbalance, where extreme pollution... read more 

Elucidating biopsychosocial mechanisms in migraine: an integrative analytics approach combining genetics, neuroimaging, and machine learning.

The journal of headache and pain
BACKGROUND: Migraine is a complex and disabling neurological disorder shaped by the interplay of biological, psychological, and behavioral factors. Current evidence lacks an integrated causal perspective spanning macro-level epidemiology, micro-level... read more 

Predicting metabolic syndrome risk in Chinese adults using integrated features of movement behaviors and dietary intake: a machine learning approach.

BMC public health
BACKGROUND: China is undergoing a rapid nutritional and epidemiological transition. Traditional epidemiological approaches often examine diet and physical activity in isolation, failing to capture the synergistic and non-linear effects of these lifes... read more 

Toward neuroanatomical and cognitive foundations of macaque social tolerance grades.

eLife
The macaque genus includes 25 species with diverse social systems, ranging from low to high social tolerance grades. Such interspecific behavioral variability provides a unique model to tackle the evolutionary foundation of primate social brain. Yet,... read more