Artificial Intelligence Medical Compendium

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

Showing 55,451 to 55,460 of 226,647 articles

Identification of a potential relationship between pigmented villonodular synovitis and atherosclerosis using comprehensive bioinformatics analyses.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals
BACKGROUND: This study investigates the pathogenesis of Pigmented Villonodular Synovitis (PVNS) using bioinformatics approaches shared with atherosclerosis (AS). METHODS: Common genes from GSE3698 and GSE28829 were identified. A PPI network was const... read more 

Machine learning-based classification of pathological shoulder motion using phase-specific kinematic features.

Computer methods in biomechanics and biomedical engineering
This study investigated an upper-extremity exoskeleton for machine learning-based discrimination of orthopedic shoulder pathology and identification of discriminative temporal features. Twelve patients with shoulder impairments and thirty healthy con... read more 

Artificial intelligence-assisted real-time nasopharyngeal cancer diagnostic model enhances rhinologist performance: a prospective multi-reader study.

Annals of medicine
BACKGROUND: Nasopharyngeal carcinoma (NPC) poses significant diagnostic challenges due to the anatomical complexity of the nasopharynx and reliance on endoscopic visual interpretation, often leading to delayed detection and unnecessary biopsies. Alth... read more 

Toward early warning of unsafe behavior of excavator operators under time pressure: experimental evidence and EEG-based detection via RCF-IncepLite model.

Accident; analysis and prevention
Time pressure can impair the cognitive functioning of excavator operators, thereby increasing unsafe behaviors and elevating the likelihood of accidents. This study uses a controlled excavator operation task with synchronized behavioral observation a... read more 

Which approach better samples extreme traffic conflicts? Conventional- vs. machine learning-based sampling methods.

Accident; analysis and prevention
Extreme value theory has been receiving much attention of late for proactively estimating crash risk through a two-step procedure that first samples extreme traffic conflicts and then estimates crash risk based on those sampled extremes. Although the... read more 

GNN2Pfam: Integrating protein sequence and structure with graph neural networks for Pfam domain annotation.

Journal of structural biology
The challenge of establishing the relationship between protein sequences and their function cannot yet be considered completely solved. State-of-the-art annotation of Pfam domains is based on hidden Markov models (HMMs) built from hand-crafted sequen... read more 

Extending the UTAUT Model: The role of cognitive flexibility in AI adoption in higher education.

Acta psychologica
The current study investigates the factors affecting students' behavioral intentions to utilize "artificial intelligence" (AI) applications in learning by extending the "unified theory of acceptance and use of technology" (UTAUT) model with the inclu... read more 

Contrasting land-use sources of microplastic and endocrine-disrupting compound pollution in a major coastal river network.

Marine pollution bulletin
Environmental monitoring in coastal megacities prioritizes land-based microplastics (MPs) and endocrine-disrupting compounds (EDCs) as key threats to marine ecosystems. This study investigated their occurrence profiles and spatial patterns in Shangha... read more