Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
This study aimed to assess the effects of thienopyridine-class antiplatelet agents (including ticlop...
Colorectal cancer is a significant global health concern, necessitating effective screening strategi...
BACKGROUND: Acquired neonatal intestinal diseases have an array of overlapping presentations and are...
BACKGROUND AND PURPOSE: Patients with stage III or IV of operative link for gastric intestinal metap...
Diabetic nephropathy (DN) is one of the most feared complications of diabetes and key cause of end-s...
BACKGROUND: Upper gastrointestinal (GI) bleeding is a common medical emergency. This study aimed to ...
, an aggressive plant pathogen, causes symptoms on a variety of crops and ornamental plants includin...
Protein-protein interactions (PPIs) are pivotal for driving diverse biological processes, and any di...
BACKGROUND AND AIMS: The diagnosis and stratification of gastric atrophy (GA) predict patients' gast...
BACKGROUNDS: Cycle-consistent generative adversarial network (CycleGAN) is a deep neural network mod...
Severe acute pancreatitis (SAP) is a life-threatening gastrointestinal emergency. The study aimed to...
The objective of this study is to compare the satisfaction of patients undergoing robot-assisted ret...
Laparoscopic approach is the gold standard for repairing hiatal hernia (HH). Robotic technology is n...
Endoscopy is an important method for diagnosing gastrointestinal (GI) diseases. In this study, we pr...
Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical ap...
Since the introduction of the single-port (SP) robotic system, SP trans-axillary robot-assisted thyr...
Intelligent prediction of risk of blood transfusion among hospitalized patients can identify at-risk...
The underrepresentation of the female population in exercise sciences could be attributed, at least ...
BACKGROUND AND AIMS: Image-enhanced endoscopy has attracted attention as a method for detecting infl...