Latest AI and machine learning research in gerd for healthcare professionals.
INTRODUCTION: Recent advances in physiology and technology have led to the identification of additional parameters that have the potential to enhance diagnostic accuracy and inform the management of Gastroesophageal reflux disease (GERD). Whilst traditional pH monitoring and acid exposure time (AET) remain central to diagnosis, recent advances have introduced novel physiological markers that impro...
Early and accurate diagnosis of nasopharyngeal-laryngeal tumors is critical for improving patient prognosis. Deep learning methods have achieved significant progress in the automatic detection of lesions in static endoscopic images. However, during nasopharyngeal-laryngeal endoscopy, the quality of endoscopic videos often suffers from motion blur, uneven exposure, and reflective artifacts, which a...
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...
BACKGROUND: Aspiration causes or aggravates a variety of respiratory diseases. Subjective bedside evaluations of aspiration are limited by poor inter-...
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...
PURPOSE: Endoscopically identifying eosinophilic esophagitis (EoE) is difficult due to its rare incidence and subtle morphology. We aimed to develop a...
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: Transcatheter edge-to-edge mitral valve repair is a key therapeutic option for patients with severe symptomatic mitral regurgitation at hi...
OBJECTIVE: Insomnia is widely recognized as a key risk factor for major depressive disorder (MDD). However, the potential molecular mechanisms and the...
Dentists are often the first healthcare providers to observe subtle orofacial and behavioral changes that may reflect underlying neurological diseases...
OBJECTIVE: To develop a proof-of-concept automated framework for integrated intraoperative transesophageal echocardiography (TEE) interpretation, enco...
AIMS: Current recommendations for echocardiography-based classification of left ventricular filling pressure (LVFP) as normal or elevated, are based o...
NASH poses a significant threat to human health and is recognized as the leading contributor to HCC. In this study, we leveraged publicly accessible d...