Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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AI for colon cancer: A focus on classification, detection, and predictive modeling.

PURPOSE: Artificial Intelligence (AI) is increasingly recognized for its potential in improving the ...

Sep 2025 41075424
Transformer-Based Feature Extraction and Optimized Deep Neural Network for Gastric Cancer Detection.

Gastric cancer is among the most common diseases worldwide and can lead to fatal outcomes. Early dia...

Sep 2025 41003967
Refining the Classroom: The Self-Supervised Professor Model for Improved Segmentation of Locally Advanced Pancreatic Ductal Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related deaths, with accurate s...

Sep 2025 40987960
Multitask radioclinical decision stratification in non-metastatic colon cancer: integrating MMR status, pT staging, and high-risk pathological factors.

OBJECTIVES: Constructing a multi-task global decision support system based on preoperative enhanced ...

Sep 2025 40981988
Precise prevention of DEHP induced hepatic fibrosis: Early identifying high-risk populations, revealing key factors, and applying targeted intervention.

Metabolic dysfunction-associated fatty liver disease (MAFLD) poses a serious threat to human health....

Sep 2025 42070807
Nivolumab plus ipilimumab for potentially resectable hepatocellular carcinoma: Long-term efficacy and biomarker exploration.

BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objec...

Sep 2025 40972843
Concurrent AI assistance with LI-RADS classification for contrast enhanced MRI of focal hepatic nodules: a multi-reader, multi-case study.

PURPOSE: The Liver Imaging Reporting and Data System (LI-RADS) assessment is subject to inter-reader...

Sep 2025 40956310
ToBaFu: Topology-based fusion model for classification of two-dimensional cancer images.

Medical images play a pivotal role in disease diagnosis. Numerous studies on cancer image analysis f...

Sep 2025 41022020
Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applications.

BACKGROUND: Gastric cancer (GC) remains a major global health concern, ranking as the fifth most pre...

Sep 2025 40932499
Integration of machine learning and SERS technology for precise classification and diagnosis of colon cancer from plasma samples.

Surface-Enhanced Raman Spectroscopy (SERS) combined with machine learning offers a transformative la...

Sep 2025 40945006
AI-Driven Fetal Liver Echotexture Analysis: A New Frontier in Predicting Neonatal Insulin Imbalance.

OBJECTIVES: To evaluate the performance of artificial intelligence (AI)-based models in predicting e...

Sep 2025 40920364
Harnessing biomarkers to guide immunotherapy in esophageal cancer: toward precision oncology.

Esophageal cancer (EC) is one of the most serious health issues around the world, ranking seventh am...

Sep 2025 40914748
Prostate MR image segmentation using a multi-stage network approach.

Prostate cancer (PCa) remains one of the most prevalent cancers among men, with over 1.4 million new...

Sep 2025 40911178
Clinical implications of computer-aided real-time size estimation of colorectal polyps during colonoscopy: a prospective study.

Accurate polyp size estimation during colonoscopy is crucial for clinical decision making, follow-up...

Sep 2025 40902621
Colorectal mucosal exposure area assessment using artificial intelligence: a multicenter prospective observational study.

This study proposed a new quality control indicator for colonoscopy, the cumulative colorectal mucos...

Sep 2025 40902624
Bilirubin biosensors for liver disease management.

Bilirubin is a vital biomarker that plays a significant role in assessing liver function and diagnos...

Sep 2025 40902932
Screening for Barrett Esophagus and Esophageal Adenocarcinoma: Approaches and Outcomes.

Barrett esophagus (BE) is the only known histological precursor to esophageal adenocarcinoma (EAC). ...

Aug 2025 40874980
Application of machine learning and deep learning in metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) can progress to metab...

Aug 2025 40850679
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