Gastroenterology

Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence-Assisted 3-Dimensional MRI/CT Fusion Imaging: A Case Report.

CASE: An 82-year-old woman presented with right medial thigh pain. Her medical history included mult...

Spatial transcriptional profiling of CHB liver biopsies reveals an undetected population of zonally biased HBV-integrated cells.

BACKGROUND & AIMS: HBV covalently closed circular DNA (cccDNA) and HBV-integrated DNA (iDNA) are fea...

Clinical and methodological considerations in artificial intelligence-assisted endoscopic ultrasonography for pancreatic mass detection.

Incidence and implications of abstinence-induced recompensation in alcohol-related cirrhosis.

BACKGROUND & AIMS: Alcohol abstinence enables hepatic recompensation in patients with decompensated ...

Machine learning-enabled quantification of hepatocellular necrosis in the liver after lethal Marburg and Ebola virus exposures.

The liver is a key target of pathogenic orthomarburgviruses and orthoebolaviruses, with injury commo...

Explainable Artificial Intelligence for the Mayo Endoscopic Score in Ulcerative Colitis.

INTRODUCTION: The Mayo endoscopic score (MES) is used widely in ulcerative colitis (UC) for severity...

Machine Learning-Based Detection of Intestinal Metaplasia Identifies Clinically Missed Cases.

CONTEXT.—: Gastric intestinal metaplasia is a recognized precursor and risk factor to gastric cancer...

A deep learning radiopathomic signature predicts recurrence risk of hepatocellular carcinoma after hepatectomy.

Accurate prediction of recurrence risk after hepatectomy still remains a clinical challenge for hepa...

Deep learning-based automated contrast enema analysis to improve the assessment of Hirschsprung disease.

OBJECTIVES: To compare the radiologic assessment of Hirschsprung disease (HD) based on contrast enem...

A screening strategy based on machine learning for diagnostic biomarkers in small cell lung cancer.

Small cell lung cancer (SCLC) is the most aggressive subtype with high mortality rates due to the la...

AI-driven optimization of sustainable solvent-based extraction: A deep learning approach for green sample preparation.

BACKGROUND: This study introduces a data-driven deep learning framework for optimizing the extractio...

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes.

Due to insufficient insulin secretion, patients with type 1 diabetes mellitus (T1DM) are prone to bl...

Development of a diagnostic model for esophageal achalasia assessed by esophageal high-resolution manometry using artificial intelligence.

Esophageal high-resolution manometry (HRM) is an important tool for diagnosing and assessing esophag...

Foundation model-enhanced unsupervised 3D deformable medical image registration.

Objective.Unsupervised deep learning has shown great promise in deformable image registration (DIR)....

Machine Learning Model Predicts Recurrent Clostridioides difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD).

INTRODUCTION: Clostridioides difficile infection (CDI) present a significant challenge in patients w...

Real-Time Characterization of Colonic Polyps: A Multicenter Prospective Study Evaluating the CAD-EYE System in Screening Colonoscopies.

BACKGROUND AND STUDY AIMS: Polypectomy-related costs could potentially be reduced through optical di...

STF: A Unified Framework for Joint Pixel-Level Segmentation and Tracking of Tissues in Endoscopic Surgery.

Endoscopic minimally invasive surgery relies on precise tissue video segmentation to avoid complicat...

Digital horizons: Exploring the future of AI-enabled gastroenterology in the Kingdom of Saudi Arabia.

Artificial intelligence is rapidly reshaping gastroenterology through demonstrable gains in diagnost...

Towards robust deep learning-based autosegmentation in MRI-planned gynecological brachytherapy: Importance of scalable development and comprehensive evaluation.

PURPOSE: To present comprehensive development and evaluation methodologies for a generalizable deep ...

Identification of hypoxia- and mitophagy-related diagnostic biomarkers for ulcerative colitis based on bioinformatic analysis and machine learning.

BACKGROUND: Ulcerative colitis (UC) is a chronic nonspecific inflammatory bowel disease of unknown e...

Natural sources and bioactive mechanisms of anti-inflammatory peptides: from digestive metabolism to bioavailability enhancement strategies.

Anti-inflammatory peptides (AIPs), a class of biologically active molecules with high specificity an...