Artificial Intelligence Medical Compendium

Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-allogeneic embryo. Despite advances in assisted reproduction, implantation failure remains a key bottleneck limiting clinical pregnancy rates, with it... read more 

To achieve rapid, non-destructive detection of food quality indicators, this study introduces a novel method that combines near-infrared (NIR) spectroscopy with the Extreme learning machine (ELM) model. Eight spectral preprocessing methods and three ... read more 

This paper discusses about the dielectric studies of binary mixtures of paracetamol (PCM) and Diethylamine (DEA). Parallel resistance (Rp) and Parallel capacitance (Cp) measured using a precision LCR meter over a frequency range of 20 Hz-2 MHz at fou... read more 

Systemic Lupus Erythematosus (SLE) is a complex autoimmune disorder with heterogeneous symptoms and overlapping clinical presentations, making early prediction extremely difficult. Traditional models often fail to integrate high-dimensional multi-omi... read more 

To achieve non-invasive early diagnosis and severity monitoring of periodontal disease, this study employed silver nanoparticles as a surface-enhanced Raman Scattering (SERS) substrate for the detection and analysis of salivary SERS spectra from a co... read more 

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