Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
BACKGROUND: Irritable Bowel Syndrome (IBS) and Major Depressive Disorder (MDD) exhibit high comorbidity, driven by dysregulation of gut-brain axis interactions. Despite evidence of shared pathophysiology, the core molecular mechanisms and therapeutic targets remain elusive, largely due to clinical heterogeneity and fragmented research approaches. METHODS: We established an integrated framework com...
BACKGROUND: Accurate prognostication in elderly patients with aneurysmal subarachnoid hemorrhage (aSAH) remains challenging due to high morbidity and mortality. This study aimed to develop and externally validate interpretable machine learning (ML) models for predicting 12-month functional outcomes. METHODS: Data from 426 consecutive elderly aSAH patients at the primary center were randomly split ...
BACKGROUND: Warfarin remains one of the most widely used anticoagulants; however, its narrow therapeutic index means that even small dosing deviations...
Early and accurate diagnosis of nasopharyngeal-laryngeal tumors is critical for improving patient prognosis. Deep learning methods have achieved signi...
BACKGROUND: Massive intraoperative bleeding (IBL) in liver transplantation (LT) poses serious risks and strains healthcare resources necessitating bet...
BACKGROUND: Artificial intelligence (AI) applications in endoscopy, particularly computer-aided detection (CADe), have shown consistent benefit in ran...
Lung cancer remains a leading cause of cancer-related mortality worldwide, with early and accurate diagnosis posing a critical challenge for improving...
Disease comorbidity-the co-occurrence of multiple diseases in the same individual-is increasingly prevalent and poses major clinical and biological ch...
OBJECTIVE: Current risk stratification for lower extremity deep vein thrombosis remains limited, often failing to identify high-risk patients for impe...
BACKGROUND: Aspiration causes or aggravates a variety of respiratory diseases. Subjective bedside evaluations of aspiration are limited by poor inter-...
AIM: This study aims to use routinely collected health data and trial emulation methodology to inform the design of a pragmatic randomized controlled ...
BACKGROUND: This study investigates the pathogenesis of Pigmented Villonodular Synovitis (PVNS) using bioinformatics approaches shared with atheroscle...
BACKGROUND: Gastrointestinal diseases pose a significant global health challenge, and their early screening relies on wireless capsule endoscopy (WCE)...
BACKGROUND: Traditional control of continuum robots (CRs) and hyper-redundant robots (HRRs) typically relies on large, costly consoles to capture phys...
BACKGROUND: Peri-operative blood transfusion is common during solid-organ transplantation, yet the impact of ABO-incompatible (ABOi) blood exposure on...
Photoacoustic imaging (PAI), a modality that combines the high contrast of optical imaging with the deep penetration of ultrasound, is rapidly transit...
BACKGROUND: Small bowel capsule endoscopy (SBCE) is central to Crohn's Disease (CD) care but limited by lengthy review and reader variability. We test...
INTRODUCTION: Proton pump inhibitors (PPIs) are widely used to treat acid-related disorders; however, treatment response varies significantly due to C...
BACKGROUND: Accurate assessment of mortality, bleeding, and atherothrombotic risk in patients with cancer and acute coronary syndrome could inform nov...