Latest AI and machine learning research in medicaid for healthcare professionals.
Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associ...
Preterm birth and very low birthweight (VP/VLBW) are associated with poorer health-related quality o...
Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Visi...
This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainabl...
Chronic non-cancer pain (CNCP) is a major health concern in the United States, incurring substantial...
Managing chronic diabetes in rural Taiwan remains challenging due to limited medical access and low ...
OBJECTIVE: Prognostication in patients with disorders of consciousness (DOCs) remains challenging be...
OBJECTIVE: To evaluate the impact of deep learning-based image conversion on the accuracy of automat...
Photoacoustic tomography (PAT), widely applied using linear array ultrasound transducers for clinica...
PURPOSE: This study aimed to investigate the performance of an artificial intelligence (AI)-based lu...
Deep neural networks have significantly improved the performance of low-level vision tasks but also ...
Low-dose computed tomography (LDCT) denoising plays an important role in medical imaging for reducin...
Nitrogen dioxide (NO) is a major air pollutant in urban areas, prompting the development of numerous...
There is a growing interest in anionic redox chemistry to improve the energy densities of rechargeab...
Water hardness is critical in domestic and industrial systems, typically measured by titration, atom...
low-dose computed tomography (LDCT) images suffer from severe noise due to reduced radiation exposur...
Land degradation poses a significant threat to ecosystems and livelihoods, particularly in disaster-...
Specific glycosylation patterns on exosome surfaces represent novel diagnostic biomarkers for cancer...
RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abn...
Undersampling accelerates signal acquisition at the expense of introducing artifacts. Removing these...
OBJECTIVE: This study introduces an ensemble framework that integrates Vision Transformer (ViT) and ...