Artificial Intelligence Medical Compendium

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

Showing 35,271 to 35,280 of 222,841 articles

Dual object graph and bisimulation metric for object-goal navigation in unfamiliar environment.

Neural networks : the official journal of the International Neural Network Society
Object-goal navigation aims to guide an agent to find a specific target object in an unfamiliar environment based on first-person visual observations. It requires the agent to learn informative visual representations and robust navigation policy. To ... read more 

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

Biomaterials advances
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 

Multi-agent contrastive exploration via value decomposition discrepancy.

Neural networks : the official journal of the International Neural Network Society
Value decomposition, as a factorization approach in multi-agent reinforcement learning (MARL), has been influential in the development of many effective value-based algorithms. Existing studies on value decomposition that focus on representation capa... read more 

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

Computational biology and chemistry
BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lung cancer. Its considerable tumor heterogeneity and drug resistance present major clinical obstacles, resulting in unfavorable patient outcomes. Protei... read more 

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

Epilepsy & behavior : E&B
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.)
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
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
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
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
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