Gastroenterology

Stereo Vision-Based Control of Continuum Robots and Hyper-Redundant Robots for Endoscopy.

BACKGROUND: Traditional control of continuum robots (CRs) and hyper-redundant robots (HRRs) typicall...

Endoscopic Diagnosis of Eosinophilic Esophagitis Using a Multi-Task U-Net: A Pilot Study.

PURPOSE: Endoscopically identifying eosinophilic esophagitis (EoE) is difficult due to its rare inci...

Impact of Artificial Intelligence for Detection of Precancerous Colonic Lesions in a Fecal Immunochemical Blood Test-Based Organized Screening Program in Italy: A Randomized Control Trial.

BACKGROUND: The fecal immunochemical test (FIT) is widely implemented as a first-line tool in organi...

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...

Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds.

Membraneless organelles (MLOs) are liquid-like compartments that organize cellular functions through...

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...