Gastroenterology

Multiblock Chemometric and Machine Learning Optimization of Energy-Assisted Extraction From Hawthorn (Crataegus songarica K. Koch) Fruit.

Efficient recovery of phenolic compounds is critical for valorizing Crataegus songarica K. Koch for food and nutraceutical applications. Conventional maceration (CM) is often limited by low extraction efficiency and prolonged processing time, whereas energy-assisted techniques may enhance extraction performance but still lack comprehensive data-driven assessment. In this study, conventional macera...

Multimodal artificial intelligence models for liver fibrosis staging: a scoping review.

Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent an emerging frontier in liver fibrosis assessment. However, use of multimodal AI for liver fibrosis staging has been only preliminarily explored, and the existing evidence is constrained by substantial methodological gaps. This scoping review aimed to comprehensively map the current evidence on mult...

Integrative Genomic and Clinical Profiling of Colorectal Cancer Liver Metastases to Guide Personalized Surgery and Liver Transplantation.

BACKGROUND/AIM: Colorectal cancer liver metastases (CRLM) remain a leading cause of cancer-related mortality. Although hepatic resection is the only e...

Effectiveness of CADe in Colonoscopy for Improved Adenoma and Polyp Detection Under Diverse Clinical Conditions.

BACKGROUND/AIM: Colonoscopy is the gold standard for colorectal cancer prevention, but its effectiveness is limited by missed lesions and operator-dep...

Automatic Phase and Sequence Identification in Gd-EOB-DTPA-Enhanced Liver MRI Using Deep Convolutional and Sequential Learning.

The purpose of this study is to develop and validate a deep learning model for automatic identification of acquisition sequences (including T1-weighte...

In vitro development of the Autonomous Colonoscope Robot System (ACRS) for fully automated colonoscope insertion.

BACKGROUND: In the field of colonoscopy, robotic systems have been developed to support or replace human operators due to a shortage of trained endosc...

Retinal Vascular Features and Risk of Colorectal Cancer Incidence and Mortality: A Population-Based Cohort Study.

INTRODUCTION: Colorectal cancer (CRC) screening remains limited by invasiveness and suboptimal sensitivity of current methods. Retinal microvasculatur...

Emerging Role of AI in Gastroenterology and Hepatology: Revolutionizing Medical Device-Assisted Diagnosis.

Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analysis of various medical imaging. Similarly, the eng...

Multi-omics Signature Predicts Anti-EGFR Therapy Benefit in Colorectal Cancer Liver Metastases: A Multi-center Cohort Study.

INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains challenging because many patients exhibit primary...

APEX-NET: automated pancreatic evaluation network using early non-contrast CT.

OBJECTIVES: To develop and validate APEX-NET for early diagnosis and severity stratification of acute pancreatitis (AP) using non-contrast CT (NCCT), ...

Deep learning and machine learning in image-based hepatocellular carcinoma detection: a systematic review and meta-analysis.

BACKGROUND: Early detection and management are essential in hepatocellular carcinoma (HCC) care. Artificial intelligence (AI) is enhancing the precisi...

Preoperative CT-based radiomics of suprapancreatic adipose tissue for predicting high-difficulty lymph node dissection in gastric cancer.

PURPOSE: Preoperative assessment of lymph node dissection (LND) difficulty in gastric cancer remains challenging. Conventional clinical indicators are...

Large Language Model Versus Multidisciplinary Team: Feasibility Study of Pancreatic Cancer Management Recommendations.

Of 269 pancreatic cancer multidisciplinary team cases, 125 complete structured cases were evaluated. The chat interface model labeled ChatGPT-5.2 matc...

Characterization and determination of the immunomodulatory activity of intestinal microbiota microorganisms isolated from free-range Cornu aspersum snails in olive groves before and after aestivation.

The present study investigated the impact of aestivation of free-range snails on the intestinal microbiota and its potential to protect the host from ...

Integrative Multi-Omics Analysis Elucidates the Progressive Disease Landscape and Reveals Dynamic Protein Biomarkers for MASLD Surveillance.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease worldwide, encompassing a continuum rangi...

Integrated Machine Learning and SHAP Analysis Identifies TRIM21 Ubiquitination of HSPA8 Driving Progression of Metabolic Dysfunction-Associated Fatty Liver Disease.

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a metabolic disorder characterized by excessive hepatic lipid accumulation. Despite it...

Integrating Machine Learning and Single-Cell Analysis to Reveal the Diagnostic and Therapeutic Value of Regulated Cell Death Mechanisms in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) treatment faces significant challenges, particularly in tumor growth, metastasis, and drug resistance. While several pr...

European Cancer Prevention Organization on cancer screening: an expert panel position paper.

BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assura...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...

Clinical artificial intelligence (AI) in Japan: Regulatory pathways, domain-specific evidence, and its data infrastructure from an international perspective.

Artificial intelligence (AI) has advanced rapidly across clinical domains, generating both a growing evidence base and dedicated regulatory frameworks...