Gastroenterology

Comprehensive and reproducible grading of the Updated Sydney System in gastric biopsies using artificial intelligence: multi-pathologist validation and a reader study.

AIMS: The Updated Sydney System is the most widely used framework for histological grading of gastri...

Transformer-Based Deep Learning Framework for Automated Lesion Detection in Capsule Endoscopy: A Comparative Study With CNN Architectures.

GOALS: To compare a vision transformer with 2 convolutional neural network architectures for multicl...

Deep learning-based automated identification of papillary bladder cancer from endoscopic still images using SE-ResNeXt-50.

Bladder cancer remains a major global health challenge, necessitating rigorous endoscopic surveillan...

Radiomics for Prediction of Microsatellite Instability Status in Gastric Cancer: A Systematic Review and Meta-Analysis.

BACKGROUND: Microsatellite instability (MSI) is a key biomarker for immunotherapy in gastric cancer ...

Creating Virtual Intraoperative CT Images From Endoscopic Video During Endoscopic Sinus Surgery: A Proof-of-Concept Study.

Artificial Intelligence in Liver Transplantation: A Systematic Review.

INTRODUCTION: Artificial intelligence (AI) is increasingly recognized as a transformative paradigm w...

An artificial intelligence-based endoscopic ultrasonography risk assessment and stratification for gastric stromal tumors.

BACKGROUND: Gastrointestinal stromal tumors (GISTs) are tumors with malignant potential. This resear...

Histological aging signatures for monitoring tissue-specific aging and disease.

Aging is the primary risk factor for chronic disease and is characterized by profound structural and...

Hyperspectral Camera Imaging Tandem With HPLC-UV-ELSD Determination and Cell Bioassay for Geographical Discrimination and Quality Consistency Evaluation of Anoectochilus roxburghii.

INTRODUCTION: Anoectochilus roxburghii (AR) is a prized medicinal herb valued for its hepatoprotecti...

A novel adrenomedullin receptor signaling-based prognostic model predicts immunosuppressive microenvironment and informs therapeutic stratification in hepatocellular carcinoma: A retrospective bioinformatics study.

The adrenomedullin receptor signaling pathway plays a crucial role in tumor progression, yet its com...

Time Trends in Cardiac Doses in 10,000 Patients Receiving Curative Thoracic Radiation Therapy Between 2009 and 2020.

AIMS: Cardiac exposure to radiation is associated with an increased risk of cardiovascular morbidity...

Volatomic profiling of blood identifies environmental chemicals associated with metabolic dysfunction-associated steatotic liver disease in lean US adults.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects lean individual...

Self-supervised monocular depth estimation for colonoscopy using normal-guided cross-attention.

PURPOSE: Reliable 3D reconstruction of colonoscopic scenes can facilitate navigation and enhance les...

VIGIL: Vision-Language Guided Multiple Instance Learning Framework for Ulcerative Colitis Histological Healing Prediction.

OBJECTIVE: Ulcerative colitis (UC) is characterized by chronic inflammation with alternating remissi...

Smart-delivery systems for intestinal mucosal homeostasis: From barrier penetration to precision regulation.

As an important barrier tissue, the intestinal mucosa is responsible for regulating immunity, absorb...

Preoperative cine MRI assessment of suspected hepatic invasion by a large abdominal wall dermatofibrosarcoma protuberans: a case report.

UNLABELLED: Dermatofibrosarcoma protuberans (DFSP) is a locally aggressive soft-tissue tumor which r...

aDISCO: A clearing method to enable 3D microscopy of large archival paraffin-embedded human tissue blocks.

Human surgery and autopsy specimens are routinely stored as formalin-fixed paraffin-embedded (FFPE) ...

Metabolic signatures and machine learning identify gut-liver-heart axis dysfunction as a potential link to major adverse cardiovascular events in coronary artery disease.

BACKGROUND: Traditional risk factors do not fully account for the residual cardiometabolic risk of m...

Building Machine Learning Models Based on Oxidative Stress Index Score to Predict Survival of Locally Advanced Rectal Cancer Receiving Different Neoadjuvant Therapy Patterns.

BACKGROUND: Liver enzyme biomarkers are known to contribute to the onset and progression of colorect...

LIMK1 and PKM as Integratively Identified Transcriptomic Signatures in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) involves complex immunometabolic dysregulation. Mitochondria-associ...

A multi-scale fusion model based on multi-phase contrast-enhanced CT for predicting pancreatic cancer resectability.

Purpose Develop a multi-scale fusion model (MSFM) based on multi-phase contrast-enhanced computed to...