Artificial Intelligence Medical Compendium

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

Showing 58,091 to 58,100 of 227,634 articles

Healthcare Professionals' Perceptions of Artificial Intelligence in Healthcare-A Systematic Review of Qualitative Studies.

Journal of advanced nursing
AIM: To identify the experiences and perceptions of healthcare professionals on artificial intelligence in healthcare. DESIGN: Systematic literature review of qualitative studies and meta-aggregation. DATA SOURCES: CINAHL, PubMed, Scopus, Medic and P... read more 

Interpretable machine learning models for QSAR-based prediction of anti-Salmonella typhi activity.

Future medicinal chemistry
AIMS: This study aimed to develop a robust machine learning (ML)-based quantitative structure-activity relationship (QSAR) model to identify potential drug candidates active against multidrug-resistant Salmonella typhi. MATERIALS & METHODS: A curated... read more 

The Role of Lower-Limb Muscle Volumes in Vertical Jump Performance in NCAA Division I Athletes.

Medicine and science in sports and exercise
INTRODUCTION/PURPOSE: This study examined the relationship between lower extremity muscle volumes and countermovement jump (CMJ) performance in 207 (43 female, 164 male) National Collegiate Athletic Association Division I collegiate basketball, footb... read more 

The role of epistemic beliefs in predicting ChatGPT adoption and avoidance in higher education.

Acta psychologica
AI-based tools such as ChatGPT are currently reshaping the landscape of higher education and significantly impacting student learning and academic achievement. With such powerful tools, individuals might get the impression of being guided by an omnis... read more 

The mediating role of engagement in the relationship between performance expectancy, effort expectancy, and students' behavioral intention to use ChatGPT.

Acta psychologica
This study investigates the factors influencing university students' behavioral intention (BI) to use ChatGPT for academic learning, emphasizing the mediating role of learning engagement (LE) between performance expectancy (PE), effort expectancy (EE... read more 

Development of fuzzy logic algorithm for predicting heavy metal content in poultry product.

The Science of the total environment
Poultry products are important global protein sources but are vulnerable to contamination by toxic metals such as copper, cadmium, lead, and arsenic. Excessive intake of these metals poses health risks, necessitating reliable yet accessible detection... read more 

Cross-sensor spectral fusion for coastal water physicochemical assessment using optimized ensemble machine learning approaches.

Marine pollution bulletin
Rising coastal pollution has increased use of remote sensing-machine learning monitoring frameworks. However, most studies rely on limited spectral features and conventional models, limiting their ability to capture the complex optical variability of... read more 

Spiking Neural Membrane Systems with Multiplexed Neurons for Enhanced Parallel Computing.

International journal of neural systems
Spiking neural membrane systems (SNP systems) are distributed parallel computing models inspired by neuronal spike mechanisms. Traditional SNP systems execute rules serially within each neuron, limiting their efficiency. This paper introduces MNSNP s... read more 

Mechanistic insights into heart failure progression and therapeutic target discovery through plasma microRNA profiling: Findings from HOMAGE.

European journal of internal medicine
BACKGROUND: Identifying early pathobiological mechanisms associated with the onset and progression of heart failure (HF) could guide development of preventive strategies. OBJECTIVE: To elucidate molecular pathways driving HF pathogenesis and identify... read more 

Graph Embedding Comparator for Evolutionary Neural Architecture Search with Isomorphic Multi-Comparison.

International journal of neural systems
Designing effective neural architectures remains a central challenge in deep learning, and Neural Architecture Search (NAS) has become a popular tool for automating this process. However, many existing NAS approaches depend on hand-crafted architectu... read more