Latest AI and machine learning research in gerd for healthcare professionals.
In recent years, artificial intelligence (AI) has been widely explored to enhance capsule endoscopy ...
Clear cell renal cell carcinoma (ccRCC) represents a prevalent malignant kidney tumor characterized ...
Early detection of lung nodules (LNs) is critical for prevention and treatment of lung cancer. Howev...
Understanding SARS-CoV-2 human protein-protein interactions (PPIs) and the host response to infectio...
INTRODUCTION: The implementation of computer-aided detection (CADe) systems has resulted in a growin...
Research and development of artificial intelligence (AI) in the field of gastrointestinal endoscopy ...
The management of multivalvular disease presents increasing challenges in clinical practice caused b...
BACKGROUND: Endoscopic surveillance is the clinical standard for Barrett's oesophagus, but its effec...
Inflammatory bowel disease (IBD) is a group of chronic inflammatory conditions of the gastrointestin...
BACKGROUND: Endoscopy is essential in upper aerodigestive tract (UADT) examination, particularly in ...
Deep learning, a cornerstone of artificial intelligence, is driving rapid advancements in computatio...
INTRODUCTION: Successful application of artificial intelligence (AI) in endoscopy requires effective...
Acute myocardial infarction (AMI) is a leading cause of global morbidity and mortality, requiring de...
Chronic rhinosinusitis with nasal polyps (CRSwNP) is a prevalent inflammatory disease where immunomo...
Gastroesophageal reflux disease (GERD) is one of the most frequently diagnosed gastrointestinal diso...
Protein-protein interactions (PPIs) play a crucial role in cellular biochemical reactions. Computati...
BACKGROUND: Artificial intelligence (AI) has revolutionized the field of gastroenterology, particula...
This article focusses on predicting the compressive properties of polyurethane-derived carbon foam u...
Alzheimer's Disease (AD) is the most prevalent neurodegenerative disorder, characterized by progress...
Advances in machine learning for structural biology have dramatically enhanced our capacity to predi...
Gliomas exhibit significant heterogeneity and diverse molecular subtypes, and there are marked diffe...