Gastroenterology

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

Traditional computed tomography (CT) methods for 3D reconstruction face resolution limitations and require time-consuming post-processing workflows. While deep learning techniques improve the accuracy of segmentation, traditional voxel-based segmentation and surface reconstruction pipelines tend to introduce artifacts such as disconnected regions, topological inconsistencies, and stepped distortio...

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 increasing and is caused by excessive fat deposition in the liver due to non-alcoholic factors. Aging is a major risk factor for the development and progression of MASLD. In this study, we investigated the metabolic effects of tilorone, a synthetic small molecule, in a high-fat diet (HFD) mouse model, wit...

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 diagnosis, treatment monitoring, and prognostic evalu...

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 than half of worldwide esophageal squamous cell ca...

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 for the detection of precancerous adenomas; howev...

[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 a primary contributor to poor prognosis. Conventi...

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

In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the treatment of both solid and non-solid tumors,and i...

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 exhaled breath samples required preconcentration prior ...

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) facilitates timely intervention. We aimed to develop a...

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 crucial biological processes such as protein and bioch...

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

Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remarkable advancement during the past decade. This nar...

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 diagnosis and treatment strategies. Sphingolipids h...

Applications of artificial intelligence in abdominal imaging.

The rapid advancements in artificial intelligence (AI) carry the promise to reshape abdominal imaging by offering transformative solutions to challeng...

From development to implementation: a systematic review on the current maturity status of artificial intelligence models for patients with colorectal cancer liver metastases.

Introduction Artificial intelligence (AI) is increasingly being researched and developed in the medical field and holds potential to transform healthc...

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 hospitalization, poses a significant challenge to recovery and...

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 high morbidity and mortality rates. Research has sho...

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 aggressive nature, late-stage diagnosis, and high mortalit...

Retrospective cohort study of infection and risk stratification using 6-year UBT data.

BACKGROUND: () infection is a major global health concern, linked to gastric cancer and metabolic disorders. Despite its widespread prevalence, accur...

Multidimensional Evidence Chain of Nutritional Impact on Digestive System Tumors: Integration of Mendelian Randomization Causal Inference, NHANES Epidemiological Data, and Transcriptomic Analysis.

BACKGROUND: The global burden of digestive system tumors (e.g., hepatocellular carcinoma, gastric cancer, colorectal cancer) continues to rise, with l...

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 poor prognosis. This study aims to analyze the cli...