Gastroenterology

The 2025 top 10 list of endoscopy topics in medical publishing: an annual review by the American Society for Gastrointestinal Endoscopy Editorial Board.

Using a systematic literature search of original articles published during 2025 in Gastrointestinal ...

Cost-effectiveness analysis of artificial intelligence (AI) for response prediction of neoadjuvant radio(chemo)therapy in locally advanced rectal cancer (LARC) in the Netherlands.

BACKGROUND: Given the potential of artificial intelligence (AI) and the increasing importance of und...

Toward clinical implementation of interpretable machine learning for early risk stratification in acute pancreatitis.

Shap-interpretable predictive modeling of microvascular invasion and early recurrence in hepatocellular carcinoma using MRI habitat imaging combined with clinical features.

OBJECTIVE: To develop and validate an integrated model combining Gd-EOB-DTPA-enhanced MRI habitat im...

C2HFusion: Clinical context-driven hierarchical fusion of multimodal data for personalized and quantitative prognostic assessment in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic model...

Self-supervised exceptional prototypical network for few-shot grading of gastric intestinal metaplasia.

Automatic grading of Gastric Intestinal Metaplasia (GIM) is valuable in assisting the diagnosis of e...

Subregional Radiomics Analysis on Multiparametric MRI for Evaluating Lymphovascular Invasion and Survival in Gastric Cancer: A Multicenter Study.

BACKGROUND: Accurate preoperative assessment of lymphovascular invasion (LVI) remains challenging du...

CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models.

BACKGROUND AND OBJECTIVE: Deep learning-based cell segmentation and classification methods in digita...

Interpretable machine learning-based prediction of liver metastasis risk in elderly patients with small cell lung Cancer: A study based on the SEER database and external validation in a Chinese cohort.

PURPOSE: Small cell lung cancer (SCLC) is a highly aggressive malignancy with a high incidence of li...

Uncovering the potential of pathomics: prognostic prediction and mechanistic investigation of pancreatic cancer.

A machine learning-based pathomics model was investigated for its value and biological significance ...

Rapid Point-of-Care Inflammatory Cytokine Monitoring during Normothermic Liver Perfusion via a Multiplexed Paper-Based Vertical Flow Assay.

The advent of normothermic machine perfusion (NMP) has substantially enhanced liver transplantation ...

Immunoprotective and neuroprotective properties of gut microbiome in psoriasis.

Psoriasis impacts nearly 100 million people globally and is associated with neuropsychiatric comorbi...

Emerging Diagnostic Indications for Endoscopic Ultrasound.

Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform tha...

Artificial Intelligence and Its Role in Endoscopic Adenoma and Cancer Detection.

Colorectal cancer incidence and mortality have declined over time, due in part to high-quality scree...

Metabolic profiling of the maternal liver in pregnant mice exposed to Di(2-ethylhexyl) phthalate (DEHP).

In this study, pregnant mice were exposed to dietary Di(2-ethylhexyl) phthalate (DEHP) (0.1 % or 0.2...

Application of artificial intelligence in colonoscopy imaging for polyp analysis-A systematic review.

The colon is a major component of the digestive system, so early detection of colorectal polyps is e...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisens...

A multicenter multinational retrospective study of the 1-year natural history of LI-RADS 3 observations in patients with cirrhosis.

OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS...

Development and validation of A CCTA-based risk prediction model for major adverse cardiovascular events in esophageal cancer patients receiving radiotherapy.

BACKGROUND AND PURPOSE: Major adverse cardiovascular events (MACEs) remain a significant concern in ...

Single-cell and machine learning-based analysis of the molecular mechanism of Banxia Xiexin Decoction in the treatment of gastric cancer.

UNLABELLED: Gastric cancer (GC) is one of the most common malignant tumors worldwide. Banxia Xiexin ...

FTIR spectroscopy combined with machine learning reveals molecular signatures distinguishing three phenotypes of endometriosis.

Endometriosis is a chronic inflammatory disorder in which endometrial tissue grows outside the uteru...