Gastroenterology

Comment on ensemble model assisted classification of gastrointestinal bleeding using wireless capsule endoscopy.

Development of a machine learning-based predictive model for feeding intolerance risk in preterm infants: A prospective cohort study.

Feeding intolerance (FI) is a common complication in premature infants, often resulting in delayed a...

Mapping mitochondria-associated research in inflammatory bowel disease: A bibliometric and network analysis.

BACKGROUND: Mitochondria-associated research has become increasingly prominent in inflammatory bowel...

Artificial intelligence in endoscopy: a call for joint leadership between ESGE and Endoscopy.

Deep-learning histopathradiomics enables high-throughput quantification of pollutant-induced tissue injury in marine mussels.

Quantitative tissue-level biomarkers are important for assessing pollutant-induced biological effect...

Proteome-guided drug discovery maps and mitigates therapeutic degrader toxicity.

Heterobifunctional targeted degraders (HBDs) enable potent removal of protein targets but their clin...

Image-enhanced autonomous navigation in intestinal robotics: a threshold-triggered approach combining dark-area localization and morphological contour guidance short title: enhancing visibility and navigation precision in confined spaces.

Robotic endoscopy offers a potential route to autonomous gastrointestinal navigation. However, auton...

Targeting delirium in gastric surgery: An interpretable predictive model and statistical analysis in critical care.

BackgroundPostoperative delirium is a serious complication in elderly ICU patients after gastric sur...

[Modern concepts in the surgical treatment of esophageal cancer].

The surgical treatment of esophageal cancer is still one of the most demanding surgical procedures w...

A simple clinical model for predicting multiple liver histologic injuries in obese individuals undergoing bariatric surgery.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is common among obese i...

Artificial intelligence-enabled serum SERS biomolecular fingerprinting for non-invasive stratification of gastric cancer progression.

Gastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide due to its la...

A dermal backflow atlas of lymphatic dysfunction in breast cancer-related lymphedema with machine learning-based stage prediction.

PURPOSE: Breast cancer-related lymphedema (BCRL) is a chronic condition caused by impaired lymphatic...

Resection zone prediction for parenchyma-sparing hepatectomy planning: a comparative study of three modeling paradigms.

PURPOSE: Parenchyma-sparing hepatectomy planning depends on accurate resection zones that preserve f...

Real-Time Computer-Aided Detection During Colonoscopy-Effects on Advanced, Diminutive, and Non-Neoplastic Lesion Detection: A Systematic Review and Meta-Analysis of Randomized Trials.

BACKGROUND/AIMS: Computer-aided detection (CADe) increases adenoma detection rate (ADR), but whether...

Small Interfering RNA in Cardiovascular Disease: A New Frontier in Precision Medicine.

Despite advances in traditional lipid-lowering, antithrombotic, and antihypertensive therapies, card...

Determination of central pain modulation biomarkers to characterise patients with cancer and refractory pain: protocol for a cross-sectional study.

INTRODUCTION: Pain is one of the most prevalent and disabling oncological symptoms, but its underlyi...

Deep Learning-Based Detection of Sessile Serrated Lesions in Colonoscopy Images: Optimization of a YOLOv3 Framework With Mucus Cap Feature Enhancement for Sessile Serrated Lesion Detection.

BACKGROUND AND AIM: Sessile serrated lesions (SSLs) are difficult to detect during colonoscopy via s...

Revolutionizing Pancreatic Cancer Detection: The Role of AI-Integrated Biosensors in Early Diagnostics.

Pancreatic cancer, particularly pancreatic ductal adenocarcinoma (PDAC), is among the most aggressiv...

Incidence and Risk Factors for Development of Portal Hypertension and Sinusoidal Liver Injury Associated with T-DM1 in HER2-Positive Breast Cancer.

PURPOSE: While an association between trastuzumab emtansine (T-DM1) and development of portal hypert...

Elucidating the Association Between Gastric Cancer and Diabetes: Integrative Analysis of Epidemiological, Genetic, and Transcriptomic Data.

Gastric cancer and diabetes are two major global health challenges, and recent studies have indicate...

An Artificial Intelligence-Based Blood Test using protein and miRNA biomarkers for Colorectal Cancer Screening.

INTRODUCTION: Colorectal cancer (CRC) is the third most diagnosed cancer worldwide. Only invasive sc...