Gastroenterology

Machine-learning-based source localization for an intraoperative forceps-type positron emission counter.

Intraoperative identification of metastatic lymph nodes in esophageal cancer surgery could enable more selective lymph-node dissection. A forceps-type positron emission counter (PEC)-a compact coincidence detector designed to intraoperatively quantify 18F-FDG uptake in individual lymph nodes through standard laparoscopic trocars-requires the radioactive source to be centered within its field of vi...

Development and Validation of an Interpretable Machine Learning Model for Staging Helicobacter pylori-Initiated Intestinal-Type Gastric Cancer in the Correa Cascade: Cross-Sectional Study.

BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors worldwide, with Helicobacter pylori-associated intestinal-type gastric cancer (IGC) being the most prevalent subtype, accounting for approximately 85% of cases. Because most patients are diagnosed at intermediate or advanced stages, early screening and accurate stage stratification of IGC progression remain major clinical c...

Use of Artificial Intelligence for Duodenal Biopsy for Celiac Disease: Developing a Prediction Model for Histopathology Diagnosis.

BACKGROUND AND AIMS: Duodenal biopsy combined with tissue transglutaminase (tTG-IgA) antibodies is the gold standard for celiac disease diagnosis. Iss...

Exploring patients' and public perspectives on an oral capsule for gastric submucosal delivery in Denmark and the USA: a mixed-methods study protocol.

INTRODUCTION: Oral capsules for gastric submucosal delivery represent a fundamentally new route of administration for biologics, which are currently l...

Multi-modal ensemble learning prediction of anti-TNF treatment response in pediatric patients with Crohn's disease using clinical, radiomic, and deep learning MR enterography features.

BACKGROUND: Anti-tumor necrosis factor (TNF) medical therapy is a major advancement for Crohn's disease (CD) management, yet many patients fail to res...

Automated CT Volumetry of Peripancreatic Collections for Risk Stratification in Acute Pancreatitis: A Multicenter Retrospective Study.

RATIONALE AND OBJECTIVES: Extrapancreatic necrosis volume is an established prognostic marker in acute necrotizing pancreatitis, yet early diagnosis r...

Machine learning-guided QSAR screening of fluconazole analogs and FDA-approved drugs against Candida albicans, with docking, molecular dynamics, and ADMET analysis.

Invasive candidiasis caused by Candida albicans is a critical-priority fungal disease associated with high mortality, and the increasing resistance to...

Machine learning-derived clinical phenotypes of ascites in cirrhosis: A multi-center latent class analysis with external validation.

BACKGROUND: Ascites development in cirrhosis reduces five-year survival from 80% to 30%, yet substantial heterogeneity exists among patients with comp...

C1R suppresses hepatocellular carcinoma cell aggressiveness through promoting HIF-1α degradation and modulating cuproptosis-related protein expression.

BACKGROUND: Hepatocellular carcinoma (HCC) frequently develops in the setting of chronic hepatitis B virus (HBV) infection, yet the molecular events s...

A simple parameter to guide plan optimization for robotic pancreas SBRT.

BACKGROUND AND PURPOSE: Pancreatic SBRT planning is challenging due to the proximity of highly sensitive organs at risk. Since automated planning is c...

Artificial Intelligence-Assisted Liver Ultrasound Training: Image Recognition and Real-Time Feedback System Based on YOLO and DeepSeek.

RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate an artificial intelligence‑assisted liver ultrasound training system that combines ...

Uncovering the molecular landscape of young-onset diffuse gastric cancer: A relieff-based feature selection analysis on RNA-Seq data.

BACKGROUND: Diffuse Gastric Cancer (DGC) is an aggressive subtype with a poor prognosis and a lack of specific biomarkers, representing a critical unm...

Unveiling the power of TIIC: A prognostic tool for esophageal adenocarcinoma.

BACKGROUND: Esophageal adenocarcinoma (EAC) remains a lethal malignancy with limited prognostic tools for guiding immunotherapy. Tumor-infiltrating im...

Predicting Intratumoral Heterogeneity and Stratifying Prognostic Risk in Gastric Cancer Using a Histology-Based Pathomics-Deep Learning Fusion Model.

Intratumoral heterogeneity (ITH) is a fundamental driver of clonal evolution and therapeutic resistance in gastric cancer (GC). However, the clinical ...

The Clinical Course of Chronic Venous Disease.

OBJECTIVE: The clinical manifestations of chronic venous disease (CVD) range from varicose veins (VV) to, ultimately, venous ulceration, representing ...

BAASNet: boundary-aware deep learning for accurate polyp segmentation in colonoscopy.

Colorectal polyps are primarily detected through colonoscopy, which plays a central role in early cancer prevention. Precise polyp segmentation suppor...

Online adaptive radiotherapy in pelvic and thoracic cancers - comparing toxicities, clinical outcomes and technical parameters between conventional image-guided radiotherapy and online adaptive radiotherapy - the study protocol for the prospective, registry-based cohort study (PRoART).

BACKGROUND: Conventional image-guided radiotherapy (IGRT) typically relies on a computed tomography (CT)-based treatment planning process (planning CT...

EBV status prediction in gastric carcinoma biopsy images using multiple bag instance learning and foundation model in multicenter data.

Epstein-Barr virus associated gastric carcinoma (EBVaGC) represents a distinct molecular subtype of gastric cancer with prognostic and therapeutic sig...

Beyond the flow: the evolving role of magnetic resonance imaging in arteriovenous shunt evaluation.

Although digital subtraction angiography remains the gold standard for the diagnosis and treatment planning of intracranial arteriovenous shunts (AVS)...

Predictive Value of Endoscopy in the Identification of Complete Response After Neoadjuvant Therapy for Rectal Adenocarcinoma.

BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify complete response after neoadjuvant therapy in loca...