Artificial Intelligence Medical Compendium

BACKGROUND: To examine the independent, stratified, and joint associations of physical activity (PA) and adiposity with microvascular diseases (MVDs) in prediabetes. METHODS: This cohort study included 9063 prediabetic individuals from the UK Biobank... read more 

Drug repositioning is a promising strategy for accelerating drug development and reducing costs by identifying potential indications for existing drugs. Recently, technological advancements have enabled the development of numerous graph convolutional... read more 

Machine learning (ML), a branch of artificial intelligence, is rapidly transforming surgical complication and outcome prediction. Unlike traditional statistical approaches, ML can learn complex, nonlinear relationships across multiple variables, enab... read more 

BACKGROUND: Hand surgeons are increasingly asked to assign American Society of Anesthesiologists (ASA) physical status classifications for local anesthesia-only procedures despite minimal training. Artificial intelligence (AI) is a powerful tool that... read more 

Driver fatigue poses a severe risk to road safety, contributing to approximately 20% of fatal accidents worldwide. While EEG signals are the gold standard for detecting fatigue, existing methods struggle to capture the complex spatiotemporal patterns... read more 

In this review, we explore pathways of coupling between microscale metabolic engineering with macroscale bioprocess design to transform microalgae into intelligent carbon management platforms, focusing on strategies that enhance CO2 fixation capacity... read more 

Arterial blood gas (ABG) analysis is a fundamental diagnostic tool in clinical medicine, offering critical insights into a patient's respiratory and metabolic status. However, interpreting ABG results can be complex and time-sensitive, necessitating ... read more 

OBJECTIVE: Investigate performances and turnaround time of Resistell Phenotech antibiotic susceptibility testing (AST), a device using the new nanomotion technology, compared with reference methods. METHODS: This is a prospective, observational, and ... read more 

Single-cell genomic technologies are transforming insect science, shifting the field from basic description to functional and mechanistic research. These methods provide remarkable insights into insect physiology, development, immunity, and evolution... read more 

The concept of integrating hemodynamic variables to define specific profiles or phenotypes has been established for decades. Describing hemodynamic phenotypes plays a key role in educating healthcare professionals about cardiovascular physiology, enh... read more