Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
Graph Neural Networks (GNNs) have established themselves as powerful tools for learning from graph-structured data. However, their reliance on local message-passing mechanisms leads to over-squashing-the compression of exponentially growing neighborhood information into fixed-size vectors-which severely limits long-range dependency modeling. We introduce the Quantum-Inspired Graph Neural Network (...
BACKGROUND: Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, is a chronic disorder that markedly impairs quality of life. Current diagnostic and monitoring tools rely on invasive procedures such as endoscopy, which are costly and burdensome. Volatile organic compounds (VOCs) in breath and feces, reflecting host-microbiota metabolism, have emerged as promising non...
BACKGROUND: Liver cirrhosis (LC) can lead to several complications. Esophageal variceal bleeding (EVB) and esophagogastric variceal bleeding (EGVB) ar...
Capsule endoscopy has transformed small bowel evaluation but remains limited for gastric examination because of passive, peristalsis dependent movemen...
Fecalith-associated appendicitis presents unique challenges in conservative management due to increased perforation risk. Early identification of pati...
Lupus nephritis (LN) represents the most severe renal manifestation of systemic lupus erythematosus (SLE), contributing to significant morbidity. Whil...
BACKGROUND AND OBJECTIVE: Differentiating T1-stage nasopharyngeal carcinoma (NPC) from benign hyperplasia (BH) is challenging. This study aims to cons...
BACKGROUND: Emerging evidence has highlighted a potential link between chronic rhinosinusitis with nasal polyps (CRSwNP) and coronavirus disease 2019 ...
BACKGROUND: A high adenoma detection rate in screening colonoscopy is associated with decreased rates of post-colonoscopy colorectal cancer. The use o...
BACKGROUND AND AIMS: Computer-aided detection (CADe) is anticipated to enhance adenoma detection rate (ADRs). The aim of this study was to systematica...
BACKGROUND: Advances in artificial intelligence have brought renewed attention to tools that can work with the large amount of written information gen...
INTRODUCTION: Joint bleeds are the most significant complication in haemophilia, leading to functional impairment and reduced quality of life. Repeate...
Drug-target interactions (DTIs) are fundamental to drug discovery, development, and repositioning. However, experimental methods for DTI identificatio...
Pulmonary embolism (PE) is a common and potentially fatal venous thromboembolic disease. Traditional management paradigms, often characterized by insu...
BACKGROUND: Clinical endpoint classification (CEC) is the gold standard for cardiovascular endpoint measurement in clinical trials, but adds time and ...
Septic shock (SS), the most severe stage of sepsis, has a high mortality rate. Mitochondria-mediated programmed cell death (MPCD) plays a key role in ...
Accurate endoscopy reports are crucial for the diagnosis and management of patients with upper gastrointestinal (UGI) diseases, yet errors and omissio...
Isoforms from the same gene can significantly rewire protein interaction networks, but proteome-wide computational evaluation of these effects remains...
Coronary artery disease (CAD) remains the leading global cause of cardiovascular morbidity and mortality, driven by dysregulated lipid metabolism, chr...
BackgroundThere is no universally accepted definition of perioperative blood loss in cardiac surgery. Existing methods are based on chest tube output ...