Artificial Intelligence Medical Compendium

Ischemic stroke (IS) is a highly complex and heterogeneous disease involving multiple pathophysiological events. A better understanding of the pathophysiology of IS will enhance preventive, diagnostic and therapeutic strategies. Despite significant a... read more 

PURPOSE: In pelvic MRI, Turbo Spin Echo (TSE) pulse sequences are used for T2-weighted imaging. However, its lengthy acquisition time increases the potential for artifacts. Deep learning (DL) reconstruction achieves reduced scan times without the deg... read more 

The escalating problem of antibiotic resistance has sparked renewed interest in bacteriophages (phages) as potential substitutes for conventional antibiotics in treating infectious diseases, improving food safety, and advancing sustainable agricultur... read more 

OBJECTIVE: The application of digital phenotyping in personality research leverages smartphone-generated data to quantify individual differences in personality constructs. It can be conceptualized as an extension of Experience Sampling Methods (ESMs)... read more 

INTRODUCTION: The rapid advancement of artificial intelligence (AI) has created new opportunities in educational research, particularly in the efficient analysis of complex social interactions within classrooms. One promising area involves the classi... read more 

Breast cancer continues to be a major global health concern, particularly for women, despite improvements in early detection and treatment strategies. Traditional tissue biopsies have long been the foundation of diagnosis and treatment planning; howe... read more 

Selenium (Se) biofortification in crops has emerged as a promising strategy to address global Se deficiencies and enhance both agricultural productivity and human health. Increasing the Se content of crops through biofortification improves their resi... read more 

The deep integration of artificial intelligence (AI) with research on food-derived peptides (FDPs) signifies a paradigm shift towards intelligent precision design and functional optimization in developing FDP products. Random forests, convolutional n... read more 

Accurate and early diagnosis of Alzheimer's Disease (AD) is crucial for timely interventions and treatment advancement. Functional Magnetic Resonance Imaging (fMRI), measuring brain blood-oxygen level changes over time, is a powerful AD-diagnosis too... read more 

Long-term continuous monitoring of volatile organic compounds (VOCs) is pivotal for climate change research, air quality assessment, pollution source identification, and public health early warning systems. Prolonged VOC monitoring is routinely imple... read more