Artificial Intelligence Medical Compendium

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

Showing 34,201 to 34,210 of 221,510 articles

Determinants of LV Myocardial Dyssynchrony in CHF: Impact of Mechanical and Electrical Dyssynchrony.

The American journal of cardiology Apr 6, 2026
Chronic heart failure (CHF) patients often present with heterogeneous patterns of cardiac dyssynchrony. Although QRS prolongation (>150 ms) and left bundle branch block (LBBB) are classical markers of electrical dyssynchrony, their direct association... read more 

Microfluidic innovations driving the future of sperm motility and sex sorting techniques.

Biomaterials advances Apr 6, 2026
Sperm sorting plays a pivotal role in assisted reproductive technologies (ART), ensuring the selection of functionally competent spermatozoa for enhanced fertilization, implantation, and pregnancy outcomes. Traditional approaches such as swim-up, den... read more 

Dual biomarkers ALOX5AP and INPP4A are associated with lipid metabolism and neutrophil extracellular traps in periodontitis: A bioinformatics and clinical validation study.

Archives of oral biology Apr 6, 2026
OBJECTIVE(S): Periodontitis is a chronic inflammatory disease characterized by progressive alveolar bone destruction. While lipid metabolism and neutrophil extracellular traps (NETs) are implicated in periodontitis pathogenesis, their precise molecul... read more 

Cost-effectiveness analysis of resective epilepsy surgery in drug-resistant patients: an artificial intelligence data modeling.

Epilepsy & behavior : E&B Apr 6, 2026
BACKGROUND: Resective epilepsy surgery has been proven to reduce the number of seizures and improve quality of life in patients with drug-resistant epilepsy (DRE) but implies high direct costs. Cost-effectiveness analyses have shown that surgery is c... read more 

Apply machine learning to predict greenhouse gas emissions in aerobic composting and achieve emission reduction by nanomembrane covering mode.

Waste management (New York, N.Y.) Apr 6, 2026
Previous studies have utilized nanomembranes to reduce greenhouse gas (GHG) emissions in composting. However, few studies have explored their effectiveness in cold environments for reducing both GHG and NH3 emissions. This study applied machine learn... read more 

Community-based early-stage chronic kidney disease screening using explainable machine learning for low-resource settings.

International journal of medical informatics Apr 6, 2026
BACKGROUND: Early detection of chronic kidney disease (CKD) is essential for preventing progression to end-stage renal disease. However, existing screening tools-primarily developed using populations from high-income countries-often underperform in B... read more 

Predicting public Intensive care unit mortality and hospitalization using Data: An evaluation of Brazil's Largest COVID-19 epidemiological dataset.

Intensive & critical care nursing Apr 6, 2026
OBJECTIVES: To assess the SRAG dataset's potential for modeling COVID-19 mortality and LOS-ICU, identify key data gaps, and support the development of predictive tools for ICU planning in future outbreaks. METHODS: The SRAG dataset was split into tra... read more 

From boost to decline: How AI exposure shapes short-term absorptive-capacity dynamics during onboarding and knowledge sharing.

Acta psychologica Apr 6, 2026
This research examines how AI exposure shapes employees' short-term absorptive-capacity dynamics and knowledge sharing during organizational onboarding. Drawing on self-determination theory, we conceptualize absorptive capacity as a dynamic learning-... read more 

Transitions of School-Family-Community assets profiles and their associations with adolescent positive development and adjustment.

Acta psychologica Apr 6, 2026
External assets as a support system on adolescents' development are particularly crucial. The present study aims to explore whether and how profiles of school-, family-, and community-based assets within adolescents' daily contextual settings functio... read more 

The influence of e-commerce virtual streamer characteristics on consumers' purchase intention: Based on a hybrid SEM-ANN approach.

Acta psychologica Apr 6, 2026
With the advancement of artificial intelligence technology, virtual streamers have gained significant traction in live streaming e-commerce. Despite their increasing significance, the influence of virtual streamer characteristics on consumers' purcha... read more 
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