Artificial Intelligence Medical Compendium

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

Showing 37,601 to 37,610 of 223,469 articles

Energy-Guided Denoising Contrastive Learning for Molecular Property Prediction.

Journal of chemical information and modeling
Self-supervised coordinate denoising presents a promising approach to learning 3D molecular representations for predicting molecular properties. However, existing methods often rely on random perturbations, which overlook the heterogeneous chemical e... read more 

Prompting Progress: Using Generative Artificial Intelligence to Enhance Nursing Students' Understanding of Social Determinants of Health.

Nurse educator
BACKGROUND: Generative artificial intelligence (GAI) addresses gaps in nursing curricula regarding social determinants of health (SDOH) by offering interactive simulations that connect theory to real-world practice. PURPOSE: This study compared GAI l... read more 

Transformer-based super-resolution lung CT images improve visualization of multiple diseases.

The British journal of radiology
OBJECTIVES: To assess the Transformer-based Swin2SR model for super-resolution (SR) enhancement of lung CT images and its clinical potential. METHODS: Chest CT scans from 303 patients at three hospitals were retrospectively included. Standard 512-mat... read more 

Artificial Intelligence prognostication of liver disease using imaging.

The British journal of radiology
Accurate prognostic tools in patients with chronic liver disease (CLD) have the potential to improve clinical outcomes and reduce health care costs. Imaging studies of CLD patients analysed using artificial intelligence (AI) algorithms for segmentati... read more 

Artificial Intelligence in Phenylketonuria: Bridging Conventional Gaps in Diagnosis and Treatment- A Systematic Review.

Reviews on recent clinical trials
INTRODUCTION: Phenylketonuria (PKU) is an autosomal recessive condition of phenylalanine metabolism, characterized by abnormally high phenylalanine concentrations that lead to brain damage. These illnesses are caused by mutations in genes that encode... read more 

Land management controls on snow accumulation in a cold-region agricultural watershed.

The Science of the total environment
Over the past three decades, the Northern Great Plains (NGP) has experienced a novel wet climatic continuum influencing snow processes. Amid this wet condition, land management practices and other watershed properties also exert strong control on sno... read more 

Revisiting the NETs-CYBB-p38 MAPK axis in bronchiectasis: The underlying oxidative injury mechanism.

Biochimica et biophysica acta. Molecular basis of disease
BACKGROUND: Bronchiectasis is a chronic neutrophilic respiratory disease frequently complicated by Pseudomonas aeruginosa (P. aeruginosa) infection. Neutrophil extracellular traps (NETs) exert dual effects in host defense and airway injury, while the... read more 

Not a Doctor, but I Write Like One: ChatGPT in General Surgery Informed Consent.

The Journal of surgical research
INTRODUCTION: Informed consent is essential to surgical care yet often burdens clinicians. Recent studies suggest that large language models can streamline this process. This study evaluates ChatGPT-generated consents for common general surgery proce... read more 

Model-based assessment of historical and future soil PAHs trends in China under divergent energy scenarios.

Journal of environmental management
China faces widespread soil contamination by polycyclic aromatic hydrocarbons (PAHs) due to rapid industrialization. However, the continuous spatiotemporal evolution of this contamination under shifting energy structures remains poorly quantified. To... read more 

Heterogeneous treatment effects of emotional arousal on aggressive driving among ride-hailing drivers under distraction and passenger presence.

Accident; analysis and prevention
This study investigates the heterogeneous treatment effects of emotional arousal on aggressive driving behaviors among ride-hailing drivers using naturalistic driving data. Three types of aggressive driving-abnormal acceleration, moderate speeding, a... read more