Latest AI and machine learning research in gastroenterology for healthcare professionals.
Minimally invasive surgery is complex and prone to variation not routinely objectively measured. We ...
Triptolide, the major component of Chinese herbal medicine Tripterygium wilfordii Hook F, possesses ...
OBJECTIVES: Ultrasound is a promising low-risk imaging modality that can provide objective airway me...
OBJECTIVE: The aim of this study was to intraindividually compare the conspicuity of focal liver les...
BACKGROUND: This study aimed to develop a dynamic survival prediction model utilizing conditional su...
Liver malignancies, particularly hepatocellular carcinoma (HCC), pose a formidable global health cha...
The constantly emerging evidence indicates a close association between coronary artery disease (CAD)...
Programmed cell death (PCD) is a significant factor in the progression of hepatocellular carcinoma (...
Esophageal squamous cell carcinoma (ESCC), a predominant subtype of esophageal cancer, typically pre...
BACKGROUND: Safety in one anastomosis gastric bypass (OAGB) is judged by outcomes, but it seems reas...
BACKGROUND: Accurate detection of hepatocellular carcinoma (HCC) in multiphasic contrast CT is essen...
Crohn's disease (CD) is a chronic inflammatory bowel disease with an unknown etiology. Ubiquitinatio...
To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing ...
Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial ...
BACKGROUND: Immune checkpoint inhibitors have proven efficacy against hepatitis B-virus positive hep...
RATIONALE AND OBJECTIVES: The expression of human epidermal growth factor receptor 2 (HER2) in gastr...
The rising incidence of pancreatic diseases, including acute and chronic pancreatitis and various pa...
The current work introduces the hybrid ensemble framework for the detection and segmentation of colo...
Bacteria are associated with certain cancers and may induce genetic instability and cancer progressi...
PURPOSE: To perform a systematic literature review of the efficacy of different AI models to predict...
OBJECTIVE: To assess the effectiveness of a machine learning framework and nomogram in predicting pr...