Artificial Intelligence Medical Compendium

Dissolved oxygen (DO) concentrations in estuarine bottom waters are a manifestation of multiple, interacting physical and biogeochemical processes, yet identifying their independent contributions remains challenging. Here, we analyze monthly water qu... read more 

AIMS: Automated extraction of information from cardiac reports would benefit both clinical reporting and research. Large language models (LLMs) hold promise for such automation, but their clinical performance and practical implementation across vario... read more 

Environmental pollution, particularly from industrial production and automobile exhaust emissions, is increasingly recognized as a significant factor in the development of various diseases, including glioblastoma (GBM). However, the relationship betw... read more 

Jointly optimizing model scale and quantization for neural networks achieves significantly higher compression ratios than either technique alone. However, the resulting combinatorial search space renders most existing methods impractical in real-worl... read more 

Image noise and motion artifacts greatly affect the quality of brain magnetic resonance imaging (MRI) and negatively influence downstream medical image analysis. Previous studies often focus on 2D methods that process each volumetric MR image slice-b... read more 

INTRODUCTION: Peptides play diverse roles in biological processes, including drug discovery, antibacterial activity, and protein-protein interactions, making peptide prediction a crucial field. The development of bioinformatics tools has significantl... read more 

Moyamoya disease (MMD) is a rare chronic cerebrovascular disorder, yet the role of mitochondria in its pathogenesis remains unclear, hindering progress in understanding pathological mechanisms and identifying therapeutic targets. However, mitochondri... read more 

The precise prediction of adsorption process is significant in the optimization of pollutant removal systems. In this research, deep fuzzy neural network (DFNN) model was developed for the prediction of Zn(II) removal efficiency using alkaline activa... read more 

Hemoglobin is a functional protein with heme as a cofactor, playing a crucial role in transporting oxygen and maintaining nitric oxide metabolic balance. Besides its physiological functions, hemoglobin has broad potential applications in medicine and... read more 

BACKGROUND: The TAILORED-AF randomized trial demonstrated that artificial intelligence-guided ablation of spatiotemporal dispersion in addition to pulmonary vein isolation significantly reduced atrial fibrillation (AF) recurrence at 1-year follow-up ... read more