Gastroenterology

A Machine-Learning Approach to Predicting Adenoma Detection and Surveillance Impact of Deeper Sections in Colorectal Polypectomy Specimens.

CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of color...

Applying Artificial Intelligence Technologies to Detect Pancreatic Ductal Adenocarcinoma Using Routine Laboratory Tests: A Pilot Study with the Aid of Machine Learning Suitable for a Small Data Analysis.

Objective This study aimed to investigate whether artificial intelligence could identify pancreatic ...

A Biomimetic Nanozyme Engineered via Coordination and Confinement for Photothermal-Reinforced Catalytic Detection of Extracellular Vesicles and Diagnosis of Cancer.

Extracellular vesicles (EVs) have emerged as promising biomarkers for liquid biopsy. However, their ...

Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease.

The density of tumour infiltrating lymphocytes in oesophago-gastric cancer varies with disease stage, geographical region and treatment: a post hoc analysis of nine phase III clinical trials.

BACKGROUND: Tumour infiltrating lymphocytes (TILs) are a key component of the tumour microenvironmen...

A framework for quantifying and leveraging uncertainty in pre-trained CT denoising model.

OBJECTIVE: To develop an architecture-agnostic framework that estimates, calibrates, and leverages t...

Automatic Detection of Ganglion Cells as a Supporting Tool for Hirschsprung Disease Diagnosis.

Hirschsprung disease (HD) is a congenital disorder characterized by the absence of ganglion cells in...

Comprehensive evaluation of cross cancer generalization in histopathology segmentation models across 21 tumor types.

BACKGROUND: Artificial intelligence has significantly advanced computational pathology by enabling h...

Pancreatic tumor detection in computed tomography images through a rotary positional siamese vision transformer.

Vision Transformers (ViTs) are one of the powerful tools in medical imaging, providing new possibili...

Prediction of tumor regression grading in rectal cancer neoadjuvant chemoradiotherapy: a habitat radiomics analysis of imaging biomarker.

BACKGROUND: Tumor regression grading (TRG) is a core prognostic predictor of treatment outcomes in r...

Construction of a risk scoring model based on machine learning and validation of the role of the key gene SERPINE1 in the progression of colon cancer.

BACKGROUND AND OBJECTIVE: Colon cancer (CC) is a highly prevalent malignant tumor with a high mortal...

Isocaloric liquid and solid meals induce comparable postprandial gastric motility: Implications for oral drug delivery assessed by real-time MRI.

Postprandial gastric motility critically influences the intragastric behavior of oral dosage forms a...

Dynamic changes in gut microbiota and discovery of prognostic biomarkers in locally advanced pancreatic cancer during chemoradiotherapy.

UNLABELLED: Pancreatic cancer has an exceptionally poor prognosis, with the majority of cases diagno...

Multi-omics-based machine learning model predicts response and guides treatment in Crohn disease: a case study in nutritional therapy.

BACKGROUND: Biomarkers are needed to predict treatment response and guide therapeutic decisions in C...

Physician Perspectives on ChatGPT-4o as a Patient Resource for Abdominal Cancer Surgeries: Cross-Sectional Survey.

BACKGROUND: Artificial intelligence (AI) models are being increasingly integrated into clinical care...

Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.

AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiat...

CAD-SEL: A dual-modal colonoscopy dataset of subepithelial lesion.

Subepithelial lesions (SELs) of the gastrointestinal tract encompass a heterogeneous spectrum of his...

From Genomic Instability to Epigenetic Signatures: The Evolving Landscape of Circulating Cell-free DNA in Metabolic Dysfunction-Associated Steatotic Liver Disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a leading global health ...

Impact of a real-time automatic quality control system for magnetically controlled capsule gastroscopy: a multicenter randomized controlled trial.

BACKGROUND: Quality control can reduce variations in operators' performance conducting magnetically ...

Medicinal Plants and the Gastrointestinal Microbiota in Chronic Diseases Modulation: A Structured Mechanistic and Translational Review.

The gut microbiome supports digestion, immunity, and metabolism; its imbalance (dysbiosis) drives in...

Interpretable LightGBM model for predicting postoperative gastrointestinal hemorrhage in elderly hip fracture patients: leveraging systemic inflammation and medication exposures for personalized risk stratification.

BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fractur...