Gastroenterology

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 optimizing safe organ utilization in liver transplantation. Recent advances in computer vision offer promising tools to standardize and enhance this process. This review maps the current evidence on AI-enabled photographic evaluation of liver steatosis and identifies areas for future development. METHODS...

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 edible food sources such as plants, animals, and microorganisms, have emerged as key regulators of gut health, influencing microbiota composition, intestinal barrier integrity, and immune responses. Recent studies highlight their role in modulating cellular processes linked to inflammation, immune homeo...

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 liquid-liquid phase separation of proteins and RN...

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 by lengthy review and reader variability. We test...

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, treatment response varies significantly due to C...

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. Protein palmitoylation, a highly conserved and pivot...

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 consumption can trigger acute-on-chronic liver failur...

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 transplantation, where it addresses complex challen...

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, highlighting the significant research value and transl...

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 need for less invasive, more patient-friendly scr...

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 now. This multicenter retrospective study aimed to i...

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 leading cause of cancer mortality worldwide. Earl...

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 and time-efficient strategy for therapeutic developm...

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 unit (ICU) poses a serious threat to infection contro...

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

BACKGROUND AND STUDY AIM: Comprehensive identification and prioritization of artificial intelligence methods developed for the analysis of gastrointes...

Minimally Invasive / Robotic Surgery for Hepatobiliary Cancer.

Minimally invasive liver surgery (MILS), including laparoscopic liver surgery and robotic liver surgery, has come a long way in the management of prim...

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 currently underutilized. Traditional enzymatic hydrolysis...

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 pancreatitis (CP) and selected CP-related complication...

Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of lymph node metastases in esophageal squamous cell carcinoma.