Artificial Intelligence Medical Compendium

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

Showing 40,101 to 40,110 of 223,737 articles

Passivity and synchronization of fractional-order coupled neural networks with multiple weights: A PD approach.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2026
Traditional control methods for complex neural networks are constrained by their dependence on precise models, neglecting the robustness needed to address high-dimensional coupling characteristics and model uncertainty, which usually results in infle... read more 

Validation of an AI-assisted screening tool for lameness detection in dairy cattle: A field-based study for preventive herd health management.

Preventive veterinary medicine Mar 20, 2026
Lameness is a major welfare and economic challenge in the dairy industry, requiring effective surveillance tools for herd-level management. While visual scoring is subjective and labor-intensive, Artificial Intelligence (AI) offers the potential for ... read more 

Rapid quantitative urinary chloride sensing with conductivity correction for cardiac patient management.

Biosensors & bioelectronics Mar 20, 2026
We present a rapid, accurate and miniaturized electrochemical platform for urinary chloride measurement using chronopotentiometry coupled with conductivity measurement on screen-printed electrodes. Chronopotentiometry was employed to measure physiolo... read more 

Clinical Informatics and Artificial Intelligence: What the Working Emergency Physician Needs to Know.

The Journal of emergency medicine Mar 20, 2026
BACKGROUND: Clinical Informatics is wide-ranging field that engages with nearly every aspect of clinical care that is documented in the electronic health record (EHR). While studies from the informatics literature had been gradually introducing more ... read more 

Prompt engineering enables open-source large language models to match proprietary models in diagnostic accuracy for annotation of radiology reports.

Clinical radiology Mar 20, 2026
AIM: This study aimed to test whether open-source large language models (LLMs) can match the diagnostic accuracy of proprietary models in annotating trauma radiology reports written in a low-resource language across 3 clinical findings. MATERIALS AND... read more 

Epidemiology of Peripheral Artery Disease, Risk Factors, and Trends.

The International journal of angiology : official publication of the International College of Angiology, Inc Mar 20, 2026
Peripheral artery disease (PAD) affects more than 230 million people worldwide, with a disproportionate burden in low- and middle-income countries. PAD is more common in the elderly population; prevalence increases significantly from about 10% in ind... read more 

Nurses' artificial intelligence anxiety levels, their attitudes towards artificial intelligence, and their skills in acting humanistically in nursing practices.

Applied nursing research : ANR Mar 20, 2026
AIM: This study aims to investigate the levels of artificial intelligence-related anxiety among nurses, their attitudes towards the use of AI in clinical settings, their ability to maintain humanistic approaches in nursing care, and the interrelation... read more 

Toward High-Fidelity Visual Reconstruction: From EEG-Based Conditioned Generation to Joint-Modal Guided Rebuilding

arXiv Mar 20, 2026
Human visual reconstruction aims to reconstruct fine-grained visual stimuli based on subject-provided descriptions and corresponding neural signals. As a widely adopted modality, Electroencephalography (EEG) captures rich visual cognition information... read more 
Computer Vision and Pattern Recognition cs.AI

ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion Models

arXiv Mar 20, 2026
Text-to-image diffusion models achieve high visual fidelity but surprisingly exhibit systematic failures in numerical control when prompts specify explicit object counts. To address this limitation, we introduce ATHENA, a model-agnostic, test-time ad... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Vision-Language Attribute Disentanglement and Reinforcement for Lifelong Person Re-Identification

arXiv Mar 20, 2026
Lifelong person re-identification (LReID) aims to learn from varying domains to obtain a unified person retrieval model. Existing LReID approaches typically focus on learning from scratch or a visual classification-pretrained model, while the Vision-... read more 
Computer Vision and Pattern Recognition
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