Gastroenterology

Histopathological proof-of-concept validation of AI-assisted peripheral neural track recognition during laparoscopic gastrointestinal surgery.

BACKGROUND: Nerve injury remains a major cause of functional impairment after gastrointestinal surge...

Evolution of Endoscopic Spine Surgery: Contemporary Advances and Future Directions.

PURPOSE OF REVIEW: Endoscopic spine surgery has evolved from non-visualized percutaneous discectomy ...

Corrigendum to "The slope of enlightenment: Towards a more realistic understanding of the strengths and weaknesses of artificial intelligence for colorectal polyp assessment" [Digestive and Liver Disease 58 (2026) 1117-1123].

Mapping the global landscape of artificial intelligence in pancreatic cancer research: A bibliometric and visualization analysis.

BACKGROUND: Artificial intelligence (AI) applications in pancreatic cancer are expanding rapidly, bu...

Predicting 90-day mortality in patients with HBV-ACLF: A comparison of machine learning models and logistic regression.

Acute-on-chronic liver failure (ACLF) is characterized by a high short-term mortality rate. Hepatiti...

Integrated biomarkers and renal Doppler for early acute kidney injury diagnosis in hepatitis C virus cirrhosis.

BACKGROUND: Acute kidney injury (AKI) complicates up to 65% of hospitalizations for decompensated ci...

[Research progress on the mechanisms and clinical interventions of gut microbiota in radiation-induced intestinal injury].

Radiotherapy is a critical treatment modality for abdominal and pelvic malignancies; however, it is ...

Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study.

Serial cognitive assessment in multiple sclerosis can help identify patients at higher risk of disab...

Integrative transcriptomic analysis of peripheral blood identifies NETosis-associated programs and a stratified adaptive immune suppression pattern in severe acute pancreatitis.

BACKGROUND: Severe acute pancreatitis (SAP) is associated with persistent organ failure and substant...

UBE2L6 drives ulcerative colitis progression by promoting BIRC2 degradation and activating non-canonical NF-κB signalling.

BACKGROUND: Post-translational modifications (PTMs) have been increasingly recognized as important r...

Optimisation of metabolic dysfunction-associated steatotic liver disease (MASLD) screening algorithm for resource-poor settings using machine learning.

BACKGROUND: The European Association for the Study of the Liver (EASL) metabolic dysfunction-associa...

Super-Resolution Deep Learning Reconstruction for 3-Dimensional T1-Weighted Gradient-Echo Imaging in Contrast-Enhanced Liver MRI: Comparison With Conventional and Standard Deep Learning Reconstructions.

PURPOSE: To evaluate the image quality of super-resolution deep learning reconstruction (SR-DLR) for...

Single-cell landscape reveals PLPP2 upregulation underlying radiotherapy resistance and immune microenvironment remodeling in pancreatic cancer.

The main purpose of this study was to investigate the molecular mechanisms underlying radiotherapy r...

Prediction analysis for delayed discharge following gastric bypass surgery.

BACKGROUND: Growing rates of obesity and an increased demand for bariatric surgery have led to short...

Long-term recovery and microbiota-gut-brain axis disruption after traumatic brain injury (OVERCOME-TBI): protocol for a prospective, observational clinical study.

INTRODUCTION: Traumatic brain injury (TBI) is a major cause of long-term disability worldwide, but t...

Distinct clinical patterns of preterm infants vulnerable to intestinal injury identified by unsupervised clustering.

BACKGROUND: Current necrotizing enterocolitis (NEC) diagnostic criteria fail to capture the full spe...

Integrative transcriptomic analysis links epithelial PCK1 dysregulation to ulcerative colitis and acetyl-l-carnitine-mediated inflammatory modulation.

BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory disorder characterized by persistent m...

Clinical characteristics, pathological comorbidities, BMI-for-age Z-score, and machine learning-based exploration of postoperative enterocolitis in iIntestinal neuronal dysplasia: a 20-year retrospective study.

PURPOSE: Intestinal neuronal dysplasia (IND) is a congenital enteric neuropathy characterized by abn...

Validation of a machine learning model to non-invasively exclude spontaneous bacterial peritonitis.

BACKGROUND: There remains a gap between guideline recommendations and real-world practice for the pe...

Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence.

The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) de...

Identification of Gene Signatures and Molecular Mechanisms Underlying the Comorbidity of Alzheimer's Disease and Crohn's Disease Using Machine Learning.

OBJECTIVE: Alzheimer's disease (AD) and Crohn's disease (CD) both involve inflammation and immune dy...