Gastroenterology

Exploring key genes in NAFLD linked to glutamine metabolism: A comprehensive analysis combining multi-omics, machine learning and SHAP.

BACKGROUND AND OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is a prevalent liver condition ...

Beam angle optimization for radiotherapy using LLMs via reinforcement-learning inspired iterative refinement.

BACKGROUND: Radiotherapy treatment planning (TP) aims to maximize radiation dose delivered to tumors...

A segmentation method with a large vision model for magnetic resonance imaging-guided adaptive radiotherapy.

BACKGROUND: Segmentation is the most effort-consuming step for magnetic resonance imaging guided ada...

A Scoping Review of the Photographic Assessment of Donor Liver Steatosis in Transplantation Using Artificial Intelligence.

INTRODUCTION: Accurate evaluation of liver steatosis and overall organ quality is critical for optim...

Exploring the impact of dietary extracellular vesicles on gut health: homeostasis, barrier defense, immunity, and signaling pathways.

Dietary extracellular vesicles (D-EVs), which are nanoscale extracellular vesicles derived from edib...

OMOM SmartScan provides noninferior assessment of Lewis score and CECDAI in Crohn's disease vs full-video review.

BACKGROUND: Small bowel capsule endoscopy (SBCE) is central to Crohn's Disease (CD) care but limited...

CYP2C19 genotype-guided dosing of proton pump inhibitors: progress in clinical trials and real-world use.

INTRODUCTION: Proton pump inhibitors (PPIs) are widely used to treat acid-related disorders; however...

A novel signature of palmitoylation for predicting prognosis and therapeutic response of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) represents an extremely complex and heterogeneous malignant tumor. Pr...

Machine learning-based risk factors for acute-on-chronic liver failure in alcohol-associated liver disease.

BACKGROUND: In patients with alcohol-associated liver disease (ALD), heavy and prolonged alcohol con...

Early Implications for Solid Organ Transplantation With the Use of Artificial Intelligence From a Bibliometric Perspective.

Artificial intelligence (AI) is increasingly transforming health care, particularly in solid organ t...

Deep learning predicts and in vitro experiments validates the synergistic anti-liver cancer effect of vincristine and lenvatinib: Mechanism involving apoptosis induction via the TNF-α/Caspase-8 pathway.

Resistance to lenvatinib has become a major obstacle in the clinical treatment of liver cancer, high...

A novel endoscopic ultrasound system assisted by artificial intelligence for the recognition of pancreatic parenchyma and the detection of solid/cystic lesions.

State of the art in soft eversion robots for colonoscopy: a review.

This review explores the current state of eversion robotics in the context of colonoscopy, given the...

An interpretable machine learning model for predicting survival in pancreatic cancer via SHAP: a multicenter study.

BACKGROUND: Existing pancreatic cancer prediction models still have significant limitations until no...

Incorporating artificial intelligence into imaging for surveillance and diagnosis of liver cancer: Innovations, challenges, and clinical translation.

Primary liver cancer, mainly hepatocellular carcinoma and intrahepatic cholangiocarcinoma, remains a...

XRepDDA: An Interpretable Drug-Disease Association Prediction Framework Leveraging Pretrained Chemical Language Models.

Drug repositioning aims to identify new indications for existing drugs, offering a cost-effective an...

Early prediction of colonization by carbapenemase-producing enterobacterales at ICU admission using machine learning.

Colonization by carbapenemase-producing Enterobacterales (CPE) on admission to an intensive care uni...

Selection of the best artificial intelligence techniques for analysis of gastrointestinal endoscopic images.

BACKGROUND AND STUDY AIM: Comprehensive identification and prioritization of artificial intelligence...

Minimally Invasive / Robotic Surgery for Hepatobiliary Cancer.

Minimally invasive liver surgery (MILS), including laparoscopic liver surgery and robotic liver surg...

An integrated in silico, in vitro, and machine learning pipeline for rapid discovery of antioxidant peptides and co-product lipids from goat liver.

Goat liver abundant in high-quality protein is a by-product during meat processing, which is current...

A CT-based radiomics model for classification of chronic pancreatitis: new biomarkers for diagnosis and severity staging.

OBJECTIVES: To develop and validate CT-based radiomics models for the identification of chronic panc...