Gastroenterology

Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study.

Organ failure (OF) is the most important determinant of prognosis in acute pancreatitis (AP) and its...

[Expert consensus on artificial intelligence-based risk assessment in gastrointestinal surgery (2026 edition)].

Perioperative risk assessment in gastrointestinal surgery is a critical component for ensuring patie...

Early diagnosis and molecular classification of gastric cancer peritoneal metastasis by deep learning-driven single-cell lipidomics.

Peritoneal metastasis is the most lethal manifestation of gastric cancer (GC), as conventional diagn...

Machine Learning Predicts First Elective Bowel Resection in Newly Diagnosed Pediatric Crohn Disease Patients.

BACKGROUND: Pediatric onset Crohn disease (pCD) requires surgery more frequently than in adults. Whi...

Translational Hepatology From Bedside to Global Policy: How Robust Clinical and Translational Research Reshapes Global Practice Guidelines and Patient Outcomes.

Over four decades, translational hepatology has evolved from empirical observations into an evidence...

Hospitalisation in cirrhosis is linked to distinct gut microbiome structural and functional profiles: a multinational metagenomic study.

BACKGROUND: Hospitalisations represent major clinical events in cirrhosis, yet prediction based on c...

Development and Prospective Validation of a Machine Learning-Based Mobile Application (CROHN'S AID) for Differentiating Crohn's Disease From Intestinal Tuberculosis in Tuberculosis-Endemic Regions.

BACKGROUND: Differentiating Intestinal tuberculosis (ITB) from Crohn's disease is a major diagnostic...

IPMN beyond the cyst: toward a broader framework of pancreatic and systemic cancer susceptibility.

INTRODUCTION: Intraductal papillary mucinous neoplasms (IPMNs) are established precursor lesions of ...

Serum Cystatin 4 combined with routine clinical laboratory indicators: A support vector machine diagnostic model for early screening of gastrointestinal tumors.

Gastrointestinal tumors lack non-invasive early screening tools, with most patients diagnosed at adv...

Advances in MOF-Based Transdermal Drug Delivery Systems: Mechanisms, Applications, and Future Prospects.

Transdermal drug delivery offers a noninvasive alternative to conventional administration by avoidin...

Do bots provide correct and adequate guidance regarding acidity: A blinded comparison rated by patients and physicians.

BACKGROUND: Large language models (LLMs) are increasingly accessed by patients for gastrointestinal ...

Precision management of gastrointestinal tumor-associated osteoporosis driven by cutting-edge technologies: Current status, challenges, and future prospects.

Gastrointestinal tumor-associated osteoporosis (GTO) is defined as secondary osteoporosis in patient...

Management of constipation: A narrative review of evolving strategies and methodological challenges.

Constipation is a common multifactorial gastrointestinal disorder with a significant impact on quali...

Variable flip angle T1 mapping for quantitative liver imaging at 0.55 T.

PURPOSE: Investigating the feasibility of variable flip angle (VFA) T1 mapping for quantitative live...

Comment on "Computer-assisted adenoma detection colonoscopy with an ENDO-AID artificial intelligence system and Endocuff- versus Endocuff-assisted colonoscopy: a randomized controlled trial".

Neoantigen cancer vaccines for gastrointestinal tumors: opportunities and challenges.

Gastrointestinal tumors are characterized by high global incidence and mortality rates. Although imm...

Non-Invasive Colorectal Cancer Screening Using Stool- and Blood-Based Tests: Evidence, Feasibility, and Equity Considerations.

Colorectal cancer (CRC) remains a major cause of cancer incidence and mortality worldwide. Because c...

CEEMDAN-decomposed time series forecasting of reported hepatitis B cases using KOA-optimised deep learning: a nationwide study in mainland China (2004-2027).

BACKGROUND: Hepatitis B remains a leading notifiable infection in mainland China, with a persistent ...

Artificial Intelligence in Endohepatology: Toward an Intelligent One-Stop Shop for Liver-Directed Endoscopy.

Endohepatology (the implementation of contemporary advanced endoscopy in hepatology) has reached a p...

Deep learning model for the prediction of lymph node metastasis in esophageal squamous cell carcinoma using MIP FDG-PET images: a retrospective validation study.

PURPOSE: Accurate preoperative diagnosis of lymph node (LN) metastasis in esophageal squamous cell c...

Spatial biology of liver transplantation: Mapping injury, immunity, and repair in the allograft.

The liver is a highly spatially organized organ in which microanatomy underpins metabolism, immune r...