Artificial Intelligence Medical Compendium

Diagnosing Helicobacter pylori infection and premalignant gastric conditions typically requires 13C urea breath testing or histological assessment, which are often unavailable in remote areas. A rural-to-center artificial intelligence (AI) model was ... read more 

Withdrawal time has emerged as a critical quality measure in colonoscopy for colorectal cancer screening. Owing to the high variability in calculating withdrawal time, recent research has explored the use of artificial intelligence (AI) to standardiz... read more 

Recent advances in artificial intelligence (AI) have enhanced the capabilities of meibography by enabling objective and quantitative assessment of meibomian gland structure. This review explores the clinical utility of AI-based meibography in the dia... read more 

BACKGROUND: This study aimed to develop a data-driven prediction model for cardiac surgery-associated acute kidney injury (CSA-AKI) at the end of surgery using machine learning (ML) algorithms. METHODS: We retrospectively collected clinical data from... read more 

Understanding the stoichiometry and associated stability of virus-like particles (VLPs) is crucial for optimizing their assembly efficiency and immunogenic properties, which are essential for advancing biotechnology, vaccine design, and drug delivery... read more 

Objective: Reflective practice is vital to high-quality therapeutic work, enabling clinicians to critically examine their professional practices. Increasing opportunities to engage in reflective processes stands to increase clinician wellbeing and th... read more 

BACKGROUND AND OBJECTIVE: Three-dimensional (3D) augmented reality (AR) and artificial intelligence (AI) technologies have recently been introduced to enhance guidance during robot-assisted radical prostatectomy (RARP). By overlaying virtual and real... read more 

Recent years have witnessed a notable rise in skin cancer cases, increasing the urgent need for accurate and timely diagnoses to ensure successful treatment and improve patient outcomes. Traditional diagnostic techniques, such as visual inspection, o... read more 

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BACKGROUND: Histology images are a cornerstone of pathology, which allow automated analysis for disease diagnosis. However, variations in staining and image acquisition processes significantly affect the performance of these algorithms. Histology ima... read more