Gastroenterology

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

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Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

May 2025 40423265
Estimation of postmortem interval under different ambient temperatures based on multi-organ metabolomics and machine learning algorithm.

In forensic practice, the estimation of postmortem interval has been a persistent challenge. Recentl...

May 2025 40423808
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...

May 2025 40423893
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...

(1)
May 2025 40423936
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...

(2)
May 2025 40424013
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 ...

(1)
May 2025 40425893
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...

May 2025 40438910
[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...

May 2025 40443328
[Current status and trends of perioperative immunotherapy for gastric cancer].

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

May 2025 40443332
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...

May 2025 40446361
Novel machine learning models for the prediction of acute respiratory distress syndrome after liver transplantation.

Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) faci...

(1)
May 2025 40495930
Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets.

INTRODUCTION: The liver is one of the vital organs of human body that performs some of the most cruc...

May 2025 40495970
Recent progress in surgical treatment of cervical spine myelopathy - A narrative review.

Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remar...

May 2025 40529237
Machine learning-driven prognostic model based on sphingolipid-related gene signature in pancreatic cancer: development and validation.

BACKGROUND: Pancreatic cancer, a highly malignant tumor with poor prognosis, lacks effective early d...

May 2025 40530146
Applications of artificial intelligence in abdominal imaging.

The rapid advancements in artificial intelligence (AI) carry the promise to reshape abdominal imagin...

May 2025 40418375
The extent of Skeletal muscle wasting in prolonged critical illness and its association with survival: insights from a retrospective single-center study.

OBJECTIVE: Muscle wasting in critically ill patients, particularly those with prolonged hospitalizat...

May 2025 40419978
Identification of autophagy-related genes in intestinal ischemia-reperfusion injury and their role in immune infiltration.

BACKGROUND: Intestinal ischemia-reperfusion (II/R) injury is a serious condition characterized by hi...

(1)
May 2025 40491449
Clinical significance of risk factor analysis in pancreatic cancer by using supervised model of machine learning.

INTRODUCTION: Pancreatic cancer (PC) poses a significant global health challenge due to its aggressi...

(1)
May 2025 40491770
Developing a predictive model for septic shock risk in acute pancreatitis patients using interpretable machine learning algorithms.

BACKGROUND: Septic shock is a severe complication of acute pancreatitis (AP), often associated with ...

(2)
May 2025 40433305
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