Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
Colorectal cancer (CRC) remains a major cause of cancer-related morbidity and mortality worldwide. E...
Threatened miscarriage represents one of the most prevalent obstetric emergencies globally. Neverthe...
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...
Myocardial infarction (MI) is a major global health concern influenced by diverse risk factors. Desp...
BACKGROUND: The annual incidence of upper gastrointestinal hemorrhage (UGIB) is about 60 cases/100,0...
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...
This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical facto...
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...
Gastrointestinal (GI) bleeding is a serious medical condition that presents significant diagnostic...
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 ...
Accurate detection and segmentation of gastrointestinal bleeding are critical for diagnosing disea...