Gastroenterology

Linking bisphenol a exposure to pancreatic cancer: Evidence from population epidemiology, multi-omics screening, and cellular validation.

Bisphenol A (BPA) is a ubiquitous environmental endocrine disruptor; its association with pancreatic...

Influence of artificial intelligence on the performance of endosonographers in detection of solid pancreatic tumors: a tandem randomized video study.

BACKGROUND: This study aimed to evaluate the influence of a pre-commercial artificial intelligence (...

Keeping the endoscopist in the loop: can artificial intelligence improve colonoscopy without deskilling endoscopists?

A Combined Clinical/MRI Deep Learning Model for Estimating Outcomes After Percutaneous Transforaminal Endoscopic Discectomy.

BACKGROUND: Percutaneous transforaminal endoscopic discectomy (PTED) is a common treatment for lumba...

Large-scale AI-guided liver malignancy diagnosis: multicenter study and a single-arm trial.

Liver malignancies are frequently evaluated on contrast-enhanced computed tomography (CE-CT), but mi...

Automatic MRI-Based segmentation of ablation zones in spine and liver: A comparative study of network performance and influencing factors.

PURPOSE: Ablation therapies are a treatment option for cancer patients, particularly for conditions ...

AI-assisted endoscopic detection of Helicobacter pylori infection in atrophic gastritis: a multicenter diagnostic study.

BACKGROUND: Convolutional neural network (CNN)-based artificial intelligence systems have demonstrat...

An segformer-mix vision transformer-based GIST segmentation in fused CT-PET images.

Accurate segmentation of gastrointestinal stromal tumour (GIST) is always challenging task due to ti...

VesselVision-Net: Hybrid Global-Local Context Learning for Liver Vessel Segmentation in Hepatic Surgery Preplanning.

Accurate segmentation of liver vessels on contrast-enhanced CT is essential for safe hepatic surgery...

Dynamic iterative coarse-to-fine prompt learning based on SAM for precise esophageal cancer gross target volume segmentation.

Accurate segmentation of the gross tumor volume from computed tomography images is a core step in th...

Integrating artificial intelligence and bioimpedance spectroscopy for enhanced pancreatic disease diagnosis.

The purpose of this study is to develop bioimpedance spectroscopy methods for diagnosing pancreatic ...

Artificial intelligence in food and nutrition science: a paradigm-centric review of computational frameworks and system-level integration.

Precision nutrition on a global scale necessitates an understanding of food not as static collection...

Unsupervised Single-Class Anomaly Detection in Rat Liver Using a Model of Normal Histomorphology.

An unsupervised, single-class anomaly detection approach based on a vision transformer architecture ...

Evaluation of Computer-aided Detection for Identifying Missed Gastric Cancer After Endoscopic Submucosal Dissection.

OBJECTIVES: Computer-aided detection (CADe) using deep learning is promising for reducing missed gas...

Radiomics Integrated with Deep Learning Based on Contrast-Enhanced MRI for Predicting Short-Term Efficacy of Drug-Eluting Beads Transarterial Chemoembolization in Hepatocellular Carcinoma from Multicenter Retrospective Study.

We aimed to develop and validate a predictive model combining radiomics, deep learning, and clinical...

Evaluation of gastric cancer using artificial intelligence iterative reconstruction on abdominal CT: image quality and diagnostic accuracy.

PURPOSE: To investigate the clinical performance of a novel deep-learning based image reconstruction...

Development and validation of a Bayesian network-based surgical risk-prediction tool for patients with small-bowel stricturing Crohn's disease.

BACKGROUND: Patients with small-bowel stricturing Crohn's disease (sbsCD) usually have a higher risk...

Antimony- and NSAID-Induced Hepatotoxicity at the Molecular Crossroads: Redox, Inflammasome and Programmed Cell-Death Networks as Therapeutic Targets for Natural Hepatoprotective Agents.

Drug- and metal-induced liver damage (DILI/MILI) continues to be a predominant cause of acute hepati...

Deep Learning-Accelerated MRI Assessment of Hepatic Proton Density Fat Fraction: Agreement With Conventional Acquisition Across Manual and Automated Measurement Approaches.

BACKGROUND: Deep learning reconstruction can shorten breath-hold MRI for liver proton density fat fr...

From Collapse to Active Self-Repair: Integrative Multi-Omics and Machine Learning Analysis Map the Hepatic Metabolic Adaption in Response to Simulated Spaceflight Stress.

Long-term spaceflight poses substantial challenges to human physiology, with the liver being highly ...

CPTCs Drive Somatic-Visceral Communication via the Wnt Axis in Somatic Mechanotherapy: A Single-Cell Deep Learning Study.

Somatic mechanical stimulation (e.g., acupuncture) exerts systemic immunomodulatory effects, yet the...