Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Profiling of extracellular vesicles from primary hepatocytes, organoids, and mash patients identifies cell injury-specific signatures.

Metabolic Dysfunction-Associated Steatohepatitis (MASH) is a severe form of Metabolic Dysfunction-As...

Jun 2026 42236744
Ultrasound elastography in pediatric care: bridging innovation and noninvasive diagnostics.

This review explores the application and limitations of ultrasound elastography (USE) in the pediatr...

Jun 2026 42231359
Complex in vitro model developers' perspective on advanced hepatic in vitro culture methods for predictive drug safety.

INTRODUCTION: Adverse drug reactions remain a major barrier to drug development, with hepatotoxicity...

Jun 2026 42226660
Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitis.

BACKGROUND: Conventional clinical scoring systems and contrast-enhanced computed tomography (CECT) i...

(2)
Jun 2026 42228172
Nanomedicine in precision treatment of gastric cancer: current clinical landscape.

Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, with therapeutic ...

(1)
Jun 2026 42228196
A machine learning‑enhanced serum metabolomics model for non‑invasive detection of gastric cancer.

BACKGROUND: Gastric cancer (GC) is a leading cause of cancer-related deaths globally, with early det...

(6)
Jun 2026 42228214
Hepatic Vessel Map (HVM): An Expert-Annotated CT Dataset for Clinically Applicable AI in Liver Vascular Segmentation and Surgical Planning.

Precise delineation of hepatic and portal venous anatomy is crucial for the diagnosis of liver disea...

Jun 2026 42230664
Deep learning reconstruction dual-energy computed tomography for gastrointestinal system tumors: low-kiloelectron volt imaging vs routine imaging.

AIM: To qualitatively and quantitatively compare dual-energy computed tomography (DECT)-derived 55 k...

Jun 2026 42364263
Early Prediction of Diabetic Macular Edema via Machine Learning Survival Analysis on Checkup Data.

PURPOSE: To predict the risk of diabetic macular edema (DME) onset and to identify features of the r...

(1)
Jun 2026 42437110
Performance comparison of a neuro-symbolic large language model system versus conventional AI models and human experts in cholangitis management.

BACKGROUND: Large language models (LLMs) have shown promising results in medical decision support; B...

Jun 2026 42226236
Computational Quantification of Peristalsis in Preclinical Mouse Models Using Smartphone Videography.

BACKGROUND: A number of diseases and medical interventions affect gastrointestinal motility. However...

Jun 2026 42226511
Artificial Intelligence for the Diagnosis of Pancreatic Diseases Using Endoscopic Ultrasonography.

Artificial intelligence (AI) is rapidly being applied to medical imaging; however, the evidence base...

Jun 2026 42227807
Development of a new disseminated intravascular coagulation score tailored for patients with chronic liver disease: a prospective observational study.

BACKGROUND: Diagnosing disseminated intravascular coagulation (DIC) in patients with chronic liver d...

Jun 2026 42229806
Marker-less Body Surface Registration with 3D imaging for Percutaneous Intervention with Smartphone Augmented Reality in Phantoms and in vivo.

PURPOSE: To evaluate the accuracy of automatic surface tracking registration with a smartphone augme...

Jun 2026 42229872
Organ-Specific Cancer-Associated Fibroblast Subtypes Across the Digestive System Linked to Cancer Hallmarks.

Cancer-associated fibroblasts (CAFs) are major stromal components of the tumor microenvironment (TME...

(1)
Jun 2026 42222902
Interpretable machine learning model for predicting operative difficulty in robotic total mesorectal excision for mid-low rectal cancer.

Precise preoperative prediction of surgical complexity in robot-assisted total mesorectal excision (...

Jun 2026 42223752
Liver Nodule Anomaly Detection Using Ultra-sound Radiofrequency Signals and Variational Autoencoders.

OBJECTIVE: Detection of liver nodules in ultrasound (US) is challenging due to the low visibility in...

Jun 2026 42224315
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