Gastroenterology

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

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Transcriptome analysis and artificial intelligence for predicting lymph node metastasis of esophageal squamous cell carcinoma.

BACKGROUND: Lymph node metastasis (LNM) is the most common route of metastasis in esophageal squamou...

Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment.

BACKGROUND & AIMS: Many clinical questions, such as estimating survival differences between living d...

Incorporating organ deformation in biological modeling and patient outcome study for permanent prostate brachytherapy.

Permanent prostate brachytherapy has inherent intraoperative organ deformation due to the inflatable...

Gastrointestinal microbiota and inflammasomes interplay in health and disease: a gut feeling.

The intricate interplay between the gut microbiota and the GI tract has garnered significant attenti...

Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Liver cirrhosis represents the end stage of chronic liver disease, characterized by extensive fibros...

Prediction of hematogenous metastasis risk from molecular classification in gastric cancer.

BACKGROUND: Hematogenous metastasis (HM) poses a significant challenge in the treatment and outcome ...

Toward diffusion MRI in the diagnosis and treatment of pancreatic cancer.

Pancreatic cancer is a highly aggressive malignancy with rising incidence and mortality rates, often...

Contrast-Enhanced Ultrasound for Hepatocellular Carcinoma Diagnosis- Expert Panel Narrative Review.

Despite growing clinical use of contrast-enhanced ultrasound (CEUS), inconsistency remains in the mo...

Human and Deep Learning Predictions of Peripheral Lung Cancer Using a 1.3 mm Video Endoscopic Probe.

BACKGROUND AND OBJECTIVE: Iriscope, a 1.3 mm video endoscopic probe introduced through an r-EBUS cat...

Development and Validation of Machine Learning-Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease.

Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease and is consid...

Identification of mitophagy-related biomarkers in severe acute pancreatitis: integration of WGCNA, machine learning algorithms and scRNA-seq.

BACKGROUND: Mitophagy is a highly conserved cellular process in eukaryotic cells that selectively cl...

Discovering the metabolic pathway of liver disease by breath mass spectrometry combined with machine learning.

On account of the low concentration and complex background, most methods for detecting VOCs in exhal...

[Current status and trends of perioperative immunotherapy for gastric cancer].

In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the ...

[Progress of individualized precision therapy for peritoneal metastasis in gastric cancer].

Peritoneal metastasis represents the most aggressive form of gastric cancer metastasis and serves as...

Clinical significance of computer-aided quality assessment systems in colonoscopy: a comprehensive review.

Colonoscopy is the primary tool for colorectal cancer screening. High-quality colonoscopy is crucial...

Radiomics applications in the modern management of esophageal squamous cell carcinoma.

Esophageal cancer ranks among the most lethal malignancies globally, with China accounting for more ...

Vessel-Like Microtunnels with Biomimetic Octopus Tentacles for Seizing and Detecting Exosomes to Diagnose Pancreatic Cancer.

Microchip-based exosome analysis has emerged as a promising approach for liquid biopsy in cancer dia...

Tilorone attenuates high-fat diet-induced hepatic steatosis by enhancing BMP9-Smad1/5/8 signaling.

The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly increa...

ToPoMesh: accurate 3D surface reconstruction from CT volumetric data via topology modification.

Traditional computed tomography (CT) methods for 3D reconstruction face resolution limitations and r...

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