Artificial Intelligence Medical Compendium

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

Showing 28,311 to 28,320 of 219,260 articles

FedSemiDG: Domain generalized federated semi-supervised medical image segmentation.

Medical image analysis Apr 22, 2026
Medical image segmentation is challenging due to the diversity of medical images and the lack of labeled data, which motivates recent developments in federated semi-supervised learning (FSSL) to leverage a large amount of unlabeled data from multiple... read more 

A robotic wound care patient for evidence-based surgical site infection research.

Journal of tissue viability Apr 22, 2026
BACKGROUND: Surgical site infections (SSIs) are among the most common and preventable postoperative complications, yet existing preclinical models lack physiological realism and do not enable quantitative assessment of bacterial behavior. Wound pH cr... read more 

Temperature-dependent development and multimodal intra-puparial age estimation of Sarcophaga formosensis (Diptera: Sarcophagidae).

Forensic science international Apr 22, 2026
Sarcophaga formosensis (Kirner & Lopes, 1961) (Diptera: Sarcophagidae) is a forensically significant necrophagous fly. However, its utility in estimating the minimum postmortem interval (PMImin) is limited by a lack of baseline bionomic data and the ... read more 

Interplay of chemical toxicants and urban microenvironments in the oxidative potential and comprehensive risk of road dust.

Environmental research Apr 22, 2026
The oxidative potential (OP) of urban road dust PM2.5 poses major health implications, primarily driven by key toxicants including heavy metals and polycyclic aromatic compounds (PACs). This study systematically measured toxics components in road dus... read more 

The impact of fuel standard on sulfur dioxide emissions: Evidence from machine learning technique.

Environmental research Apr 22, 2026
Green transport is increasingly important in improving urban air quality. Using daily air quality monitoring data at the station level, this paper employs a staggered difference-in-differences approach to examine the impact of high-quality fuel on ur... read more 

SMOTE-DNN algorithm for accurate recognition and classification of VAHs with minimal dataset requirements.

Environmental research Apr 22, 2026
Volatile aromatic hydrocarbons (VAHs) constitute a major class of gaseous pollutants. Recently, sensor array-based electronic nose (e-nose) technologies have emerged as promising tools for real-time monitoring, facilitating the evaluation of their en... read more 

Deep learning-based non-contrast cine CMR for optimized prediction of left ventricular adverse remodeling after ST-elevation myocardial infarction.

International journal of cardiology Apr 22, 2026
OBJECTIVES: To evaluate the feasibility of a non-contrast cardiac magnetic resonance (CMR)-based deep learning (DL) model for predicting left ventricular adverse remodeling (LVAR) in patients with acute ST-segment elevation myocardial infarction (STE... read more 

Robust validation of neuroimaging and clinical models via the SAR method: A case study based on the ADNI dataset.

NeuroImage Apr 22, 2026
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and substantial brain atrophy. Early and accurate prediction of disease progression and staging is crucial for timely intervention and effective t... read more 

AI-based mouse behavior analysis in pathology: A focus on movement disorders.

Neuroscience and biobehavioral reviews Apr 22, 2026
Quantifying behavior in animal models is essential for understanding neurological disorders, yet traditional scoring methods often fail to capture the complexity and heterogeneity of motor dysfunction. Recent advances in artificial intelligence (AI) ... read more 

Functional cortical network alterations in Parkinson's disease with wearing-off revealed by resting-state fNIRS and graph theory.

Neuroscience Apr 22, 2026
Wearing-off (WO) is a common motor complication in Parkinson's disease (PD), characterized by the re-emergence of symptoms before the next dose of dopaminergic medication and still lacking objective, bedside-available neurophysiological biomarkers. I... read more 
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