Gastroenterology

Bridging prediction and reality: AI-based external validation of predictive models for lymph node metastasis in gastric cancer.

INTRODUCTION: The optimal extent of lymphadenectomy in gastric cancer surgery remains a subject of o...

Nationwide 30-Day Surgical Outcomes in Korea: An Interim Analysis of the Korean Quality Improvement Platform in Surgery.

BACKGROUND: National surgical registries such as the American College of Surgeons NSQIP and Japan's ...

A multidimensional risk prediction framework for malignant intestinal obstruction based on machine learning: computational model development and clinical validation.

Malignant intestinal obstruction (MIO) is a severe complication of advanced cancer. Traditional stat...

Performance of GPT-based large language models in hepatocellular carcinoma stratification: liver function assessment, BCLC staging, and treatment recommendations.

Large language models (LLMs) like GPT have been proposed to support complex clinical decision-making...

CDSegNet: a multi-scale convolution and attention mechanism U-shaped network for Crohn's disease lesion segmentation.

Accurate segmentation of Crohn's disease (CD) lesions from computed tomography enterography (CTE) cr...

Comments on "Artificial Intelligence in Colonoscopy Surveillance for Lynch Syndrome: Emerging Evidence, Lessons Learned From Average-Risk Populations, and Future Directions".

Prediction of inflammatory bowel disease recurrence risk based on multi-omics integration and machine learning models.

PURPOSE: Postoperative recurrence remains a major clinical challenge in inflammatory bowel disease (...

How can reasoning capability empower the AI copilot robot in endoscopic surgery.

Reasoning capability has significantly advanced complex logical inference and robotic decision-makin...

Fusion of MRI-radiomics and clinical features to improve pathological T-stage prediction of rectal cancer: a multicenter study.

BACKGROUND: Developing a rational model for precise preoperative staging of rectal cancer using magn...

CT-based habitat analysis combined with multi-channel deep learning for predicting early recurrence after pancreatic cancer resection: a multicenter study.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, with high early recurrence...

Machine learning models to predict the recurrence of common bile duct stones after ERCP.

OBJECTIVE: To construct predictive models for the recurrence of common bile duct stones (CBDS) follo...

A Single-Cell Guided Machine Learning Model Predicts Response to Immune Checkpoint Inhibitors in Gastric Cancer.

Resistance to immune checkpoint inhibitors is a major clinical obstacle in the treatment of gastric ...

IgG4-related disease has a specific intestinal microbiota signature.

BACKGROUND: While the intestinal microbiome has been implicated in Immunoglobulin-4 related disease ...

Deep learning-based automatic segmentation of rectal tumors in endoscopic images.

PURPOSE: Endoscopy is critical in the identification of rectal tumors, but is prone to observer erro...

Real-World Validation of PinPoint Blood Tests in the NHS: Multivariable Machine Learning to Predict Cancer Risk in Primary Care Urgent Referrals.

OBJECTIVE: To validate the United Kingdom Conformity Assessed-marked PinPoint blood tests, which use...

TENTACLES: a consensus machine learning tool for robust biomarker discovery in heterogeneous data.

BACKGROUND: Transcriptomic biomarker discovery often fails to produce reproducible gene signatures a...

Deep Learning-Driven Saccharide Online Sequencing for Elucidating the Pathological Alterations of Heparan Sulfate in APAP-Induced Acute Liver Injury.

Heparan sulfate (HS), one of the mostly negatively charged biomacromolecules anchored on the membran...

Machine learning for predicting liver metastasis in colorectal cancer.

AIM: To evaluate the performance of machine learning models in predicting liver metastasis in colore...

Identification of estrogen-related biomarkers in metabolic dysfunction-associated steatotic liver disease (MASLD) through machine learning and single-cell analysis.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-...

Sinomenine alleviates ulcerative colitis by targeting FXR to regulate arachidonic acid metabolism and Th17/Treg homeostasis.

Sinomenine (SIN), a bioactive alkaloid with anti-inflammatory activity, has shown therapeutic potent...

IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseases.

BACKGROUND & AIMS: Multi-omic and multimodal datasets with detailed clinical annotations offer signi...