Artificial Intelligence Medical Compendium

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

Showing 3,041 to 3,050 of 168,416 articles

Machine learningdriven framework for realtime air quality assessment and predictive environmental health risk mapping.

Scientific reports
This research introduces a practical and innovative approach for real-time air quality assessment and health risk prediction, focusing on urban, industrial, suburban, rural, and traffic-heavy environments. The framework integrates data from multiple ... read more 

Next-generation smart wound dressings: AI integration, biosensors, and electrospun nanofibers for chronic wound therapy.

Journal of biomaterials science. Polymer edition
Polymeric biomaterials, particularly electrospun nanofibers, are increasingly central to the development of advanced wound dressings capable of supporting tissue regeneration while enabling real-time physiological monitoring. Chronic wounds associate... read more 

Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study.

JMIR medical informatics
BACKGROUND: Seasonal influenza is a major global public health concern, leading to escalated morbidity and mortality rates. Traditional early warning models rely on binary (0/1) classification methods, which issue alerts only when predefined threshol... read more 

A workflow for statistical analysis and visualization of microbiome omics data using the R microeco package.

Nature protocols
The increasing complexity of experimental designs and the volume of data in the microbiome field, along with the diversification of omics data types, pose substantial challenges to statistical analysis and visualization. Here we present a step-by-ste... read more 

Breeding 5.0: Artificial intelligence (AI)-decoded germplasm for accelerated crop innovation.

Journal of integrative plant biology
Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions. This ... read more 

Toward automated assessment of conjunctival hyperemia: A semisupervised artificial intelligence approach.

Annals of the New York Academy of Sciences
This paper develops an automated approach for conjunctival hyperemia grading from slit-lamp images using semisupervised learning. We conducted a retrospective study including slit-lamp images from two study sites. Two independent graders assessed the... read more 

Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties.

Scientific reports
This study presents a machine learning approach to predict the structural number of flexible pavements using subgrade soil properties and environmental conditions. Four algorithms were evaluated, including random forest, extreme gradient boosting, gr... read more 

Spatiotemporal instability analysis of active traveller injury severities with small sample size and imbalanced crash data.

International journal of injury control and safety promotion
Active traveller (including pedestrians and bicyclists) crashes pose significant challenges to sustainable transportation. Active traveller injury severities not only demonstrate temporal variations, but also differ across different functional zones ... read more 

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer metastasis reviews
Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more