Latest AI and machine learning research in gerd for healthcare professionals.
Colorectal cancer (CRC) remains a major cause of cancer-related morbidity and mortality worldwide. E...
The scientific literature on artificial intelligence-enabled electrocardiography (AI-ECG) has define...
Recent large-scale plasma proteomic studies have identified a set of biomarkers for the diagnosis of...
Chronic obstructive pulmonary disease (COPD) is the third leading cause of global mortality. Emergin...
FOLR3 serves as an important member of the folate metabolic pathway and plays a crucial role in vari...
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that involves multiple systems. S...
Keratoconus (KC) is a prevalent ectatic corneal disease and the leading cause of corneal transplanta...
OBJECTIVE: To develop a multi-task artificial intelligence-assisted system for small bowel capsule e...
Parkinson's disease (PD) is a common and debilitating neurodegenerative disorder. The inflammatory r...
PURPOSE: This meta-analysis aimed to assess the diagnostic performance of artificial intelligence (A...
Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogen...
Protein-protein interactions (PPIs) perform significant functions in many biological activities like...
BACKGROUND: Wireless capsule endoscopy (WCE) has become an important noninvasive and portable tool f...
Informed by the success of the transformer model in various computer vision tasks, we design an en...
Recent advances in topology-based modeling have accelerated progress in physical modeling and mole...
Deep learning can predict depth maps and capsule ego-motion from capsule endoscopy videos, aiding ...
Gastrointestinal (GI) bleeding, a critical indicator of digestive system disorders, re quires effi...
The MitraClip is the most widely percutaneous treatment for mitral regurgitation, typically perfor...
Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen worldwide. Infecting roug...
Endoscopy, histology, and cross-sectional imaging serve as fundamental pillars in the detection, mon...
Identifying drug-target interactions (DTI) is crucial in drug discovery and repurposing, and in sili...