Artificial Intelligence Medical Compendium

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

Showing 28,011 to 28,020 of 219,064 articles

Purchasing and Using an Artificial Intelligence Algorithm for Fracture Detection: Point-One of the Most Justifiable and Mature Applications in Radiology Today.

AJR. American journal of roentgenology Apr 22, 2026
read more 

Purchasing and Using an Artificial Intelligence Algorithm for Fracture Detection: Counterpoint-Practical Barriers to Clinical Adoption.

AJR. American journal of roentgenology Apr 22, 2026
read more 

Chest Radiography-Based Artificial Intelligence for Interstitial Lung Abnormalities: A Bridge, Not a Destination.

AJR. American journal of roentgenology Apr 22, 2026
read more 

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 
Popular Topics
Recent Journals