Artificial Intelligence Medical Compendium

Machine learning is increasingly used to predict post-surgical complications, but predictive performance does not guarantee clinical readiness. Shimizu and colleagues developed a promising model for older adults undergoing tibial fracture surgery usi... read more 

BACKGROUND: Factors driving intensive care unit (ICU) transfer decisions and mortality after rapid response team (RRT) activation remain unclear. We identified independent predictors of ICU admission, 28-day mortality, and in-hospital mortality in RR... read more 

Identifying marker-pair epistasis in genome-wide association studies remains challenging due to computational burden and statistically underpowered. Hence, we developed a big-data algorithm, Fast3VmrMLM, that integrates a genome-wide pairwise scannin... read more 

This study investigated the association between triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-C) and kidney stone status and evaluated its contribution to multivariable classification models. A total of 1,174 patients from the Fi... read more 

A brain tumor is characterized by the uncontrolled growth of cells that causes a severe impact on the quality of life. Nowadays, various methods based on multimodal medical images are used to identify brain tumors. Meanwhile, these methods require ex... read more 

Hydrogen has emerged as a key energy carrier for achieving global decarbonization and enabling the transition to sustainable energy systems. Among the various production pathways, green hydrogen generated through water electrolysis using renewable el... read more 

INTRODUCTION: Colorectal cancer (CRC) is one of the leading causes of cancer death worldwide, with outcomes depending on the stages at diagnosis. Genomic and transcriptomic classifications are largely inferential because the genotype-phenotype relati... read more 

The emergence of drug-resistant Plasmodium falciparum necessitates novel antimalarial strategies. Lysyl-tRNA synthetase from Plasmodium falciparum (PfLysRS), an essential enzyme involved in protein biosynthesis, represents a promising molecular targe... read more 

Rapid and reliable determination of toxic dyes in complex aqueous environments remains challenging because matrix interference and complicated sample pretreatment often compromise analytical accuracy and practical applicability. Therefore, an integra... read more 

Antimicrobial peptides (AMPs) represent promising candidates for combating multidrug-resistant bacterial infections; however, their clinical translation has been hampered by inherent limitations, including poor proteolytic and serum stability, unfavo... read more