Gastroenterology

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

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Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion

Automated diagnostic systems (ADS) have shown significant potential in the early detection of poly...

Thinking like a pathologist: Morphologic approach to hepatobiliary tumors by ChatGPT.

OBJECTIVES: This research aimed to evaluate the effectiveness of ChatGPT in accurately diagnosing he...

Jan 2025 39030695
Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding.

BACKGROUND: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective intervention for ma...

Jan 2025 39877716
LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images

UNet and its variants have widespread applications in medical image segmentation. However, the sub...

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications

Artificial intelligence (AI) has potential to revolutionize the field of oncology by enhancing the...

AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach

In the era of data-driven decision-making, ensuring the privacy and security of shared data is par...

[Artificial intelligence for lymph node metastasis prediction in gastric cancer: research progress].

Gastric cancer is a common tumor in China, and lymph node metastasis (LNM) is an independent prognos...

Jan 2025 39971559
Registration of Longitudinal Liver Examinations for Tumor Progress Assessment

Assessing cancer progression in liver CT scans is a clinical challenge, requiring a comparison of ...

The Application Value of an Artificial Intelligence-Driven Intestinal Image Recognition Model to Evaluate Intestinal Preparation before Colonoscopy.

Artificial intelligence (AI), with advantages such as automatic feature extraction and high data pr...

Jan 2025 39862028
Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation

Multiphase CT studies are routinely obtained in clinical practice for diagnosis and management of ...

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models

The interconnection between the human lungs and other organs, such as the liver and kidneys, is cr...

Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, with lung metastase...

A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data

The objective of this paper is to provide a baseline for performing multi-modal data classificatio...

EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery

Recently, Multimodal Large Language Models (MLLMs) have demonstrated their immense potential in co...

A fusion model of manually extracted visual features and deep learning features for rebleeding risk stratification in peptic ulcers.

OBJECTIVES: We propose a multi-feature fusion model based on manually extracted features and deep le...

Jan 2025 39819728
A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

Longitudinal MRI analysis is crucial for predicting disease outcomes, particularly in chronic cond...

Machine learning models for predicting postoperative peritoneal metastasis after hepatocellular carcinoma rupture: a multicenter cohort study in China.

BACKGROUND: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a crit...

Jan 2025 39832130
Polyp detection in colonoscopy images using YOLOv11

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers all over the world. It start...

Using artificial intelligence and statistics for managing peritoneal metastases from gastrointestinal cancers.

OBJECTIVE: The primary objective of this study is to investigate various applications of artificial ...

Jan 2025 39736152
Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features

Hepatocellular carcinoma is the most spread primary liver cancer across the world ($\sim$80\% of t...

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