Gastroenterology

Human-artificial intelligence adaptation in colonoscopy: beyond deskilling and upskilling.

A machine learning approach to non-invasive prediction of hepatic decompensation in compensated advanced chronic liver disease: the CIRI model.

BACKGROUND & AIMS: Hepatic venous pressure gradient (HVPG) is the gold standard for assessment of prognosis in compensated advanced chronic liver disease (cACLD), yet its invasiveness limits broad clinical use. We developed and validated the Cirrhosis Risk Identifier (CIRI) model, a machine-learning tool using 11 demographic and routine laboratory parameters trained to prognosticate first decompen...

A Multimodal Deep Learning Model for Preoperative Prediction of Postoperative Complications in Gastric Cancer.

BACKGROUND: Clavien-Dindo (CD) grade ≥II complications occur in roughly one in five patients after curative gastrectomy for gastric cancer and indepen...

Machine learning-based model for identifying liver injury in patients with thyroid-associated ophthalmopathy.

PURPOSE: To explore the relationship between thyroid-associated ophthalmopathy (TAO) and liver injury and establish a model for identifying liver inju...

An efficient framework for real-time colorectal polyp detection using local outlier factor-based preprocessing and YOLOv11n.

Timely and accurate detection of colorectal polyps plays an important role in the prevention and early diagnosis of colorectal cancer. Despite the adv...

Screening of core targets for Di(2-ethylhexyl) Phthalate-related gastric cancer based on machine learning, molecular docking, and SHAP analysis.

PURPOSE: Given the existing uncertainties regarding the link between Di(2-ethylhexyl) phthalate (DEHP) exposure and gastric cancer (GC) progression, t...

Circulating multi-omic signature of disease severity and cholangiocarcinoma in primary sclerosing cholangitis.

BACKGROUND: Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease often associated with inflammatory bowel disease (IBD) that ca...

Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Chemotherapy.

Advanced pancreatic ductal adenocarcinoma (PDAC) often progresses rapidly during chemotherapy despite initial assessments of stable disease or partial...

Multistage microrobots with pH-responsive release of platelet membrane-coated nanoparticles.

Targeted drug delivery in the gastrointestinal tract remains challenging because therapeutics must overcome multiple hierarchical barriers before reac...

Acute Aluminum Phosphide Poisoning: Evolving Perspectives on Toxic Mechanisms and Evidence-Based Clinical Management.

Aluminum phosphide (AlP) is a chemical compound that is used as a pesticide for suicidal purposes and can cause death, and it poses a challenge to hea...

A prospective development and evaluation of a 2D convolutional neural network-based auto-segmentation model for cervical cancer radiotherapy.

BACKGROUND: Accurate delineation of target volumes and organs at risk (OAR) is essential in radiotherapy planning for cervical cancer. Deep learning (...

A modern review of uveal melanoma: molecular insights, clinical management, and emerging therapies.

Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity fo...

CMTM3 links inflammation-related transcriptional dysregulation to immune and therapeutic stratification in gastric cancer.

Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory and metabolic programs, which affect tumor progressi...

Artificial Intelligence-Enabled Opportunities to Reduce Administrative Bloat in Gastroenterology Practices: Scoping Review.

BACKGROUND AND AIMS: Healthcare administration accounts for approximately 25% of healthcare expenditures. We performed a scoping review of AI-enabled ...

Precision-Driven Management of Great Saphenous Varicose Veins: A Narrative Review.

OBJECTIVES: Great saphenous vein (GSV) incompetence is common, but numerous treatment options complicate patient-treatment matching. This narrative re...

Decoding the Partitioning Behavior of Poly- and Perfluoroalkyl Substances: Insights from Human Liver and Blood Biomonitoring with Machine Learning.

Perfluoroalkyl substances (PFASs) are known for their tendency to accumulate in the human liver, potentially causing hepatotoxic effects. However, the...

IgA-Enriched Phenotype Predicts Liver-Related Events in MASLD.

BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a complex, multifactorial condition. To achieve truly personali...

Automated MRI Liver Segmentation For Accurate Quantification Of Hepatic Steatosis.

RATIONALE AND OBJECTIVES: MRI-proton density fat fraction (MRI-PDFF) is widely applied in clinical practice for hepatic fat quantification. However, t...

Single-Cell and Bulk RNA Sequencing Reveal MCL1 as a Key Regulator of Mitochondrial Function in Liver Ischemia-Reperfusion Injury.

Liver ischemia-reperfusion injury (LIRI), a significant complication following liver transplantation and surgical procedures, remains inadequately add...

Multi-Omics Framework Integrating Genetics, Microbiome, Metabolism, and Immunity for Deciphering Ulcerative Colitis Pathogenesis and Diagnostic Biomarker Discovery.

Ulcerative colitis (UC) is an inflammatory bowel disease involving complex interactions between genetics, gut microbiota, metabolism, and immunity. Th...