Gastroenterology

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

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An ensemble learning model to predict lymph node metastasis in early gastric cancer.

Lymph node metastasis is a critical factor for determining therapeutic strategies and assessing the ...

Apr 2025 40175493
Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions.

OBJECTIVE: This study evaluates the impact of deep learning-enhanced T1-weighted VIBE sequences (DL-...

Apr 2025 40176185
Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach.

Hepatitis is a widespread inflammatory condition of the liver, presenting a formidable global health...

Apr 2025 40173410
Generation of surgical reports for lymph node dissection during laparoscopic gastric cancer surgery based on artificial intelligence.

PURPOSE: This study aimed to develop an artificial intelligence (AI) model for the surgical report o...

Apr 2025 40167881
Machine Learning-Guided Fluid Resuscitation for Acute Pancreatitis Improves Outcomes.

INTRODUCTION: Ariel Dynamic Acute Pancreatitis Tracker (ADAPT) is an artificial intelligence tool us...

Apr 2025 39851257
Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma.

The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC)...

Apr 2025 40169794
GONNMDA: A Ordered Message Passing GNN Approach for miRNA-Disease Association Prediction.

Small non-coding molecules known as microRNAs (miRNAs) play a critical role in disease diagnosis, tr...

Apr 2025 40282386
A Novel Natural Language Processing Tool Improves Colonoscopy Auditing of Adenoma and Serrated Polyp Detection Rates.

BACKGROUND AND STUDY AIMS: Determining adenoma detection rate (ADR) and serrated polyp detection rat...

Mar 2025 40162890
The reality of modeling irritable bowel syndrome: progress and challenges.

INTRODUCTION: Irritable bowel syndrome (IBS) is a common gastrointestinal disorder that is often the...

Mar 2025 40162721
Machine learning models for pancreatic cancer diagnosis based on microbiome markers from serum extracellular vesicles.

Pancreatic cancer (PC) is a fatal disease with an extremely low 5-year survival rate, mainly because...

Mar 2025 40164714
Gd-EOB-DTPA-enhanced MRI radiomics and deep learning models to predict microvascular invasion in hepatocellular carcinoma: a multicenter study.

BACKGROUND: Microvascular invasion (MVI) is an important risk factor for early postoperative recurre...

Mar 2025 40165094
Internal Target Volume Estimation for Liver Cancer Radiation Therapy Using an Ultra Quality 4-Dimensional Magnetic Resonance Imaging.

PURPOSE: Accurate internal target volume (ITV) estimation is essential for effective and safe radiat...

Mar 2025 40386564
AI and Machine Learning for Precision Medicine in Acute Pancreatitis: A Narrative Review.

Acute pancreatitis (AP) presents a significant clinical challenge due to its wide range of severity,...

Mar 2025 40282920
Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis.

BACKGROUND: Radiation-induced esophagitis remains a significant challenge in thoracic and neck cance...

Mar 2025 40230494
Deciphering aging-associated prognosis and heterogeneity in gastric cancer through a machine learning-driven approach.

Gastric cancer (GC) is a prevalent malignancy with a high mortality rate and limited treatment optio...

Mar 2025 40256325
ResTransUNet: A hybrid CNN-transformer approach for liver and tumor segmentation in CT images.

BACKGROUND AND OBJECTIVE: Accurate medical tumor segmentation is critical for early diagnosis and tr...

Mar 2025 40157314
Development and Multi-center validation of a machine learning Model for advanced colorectal neoplasms screening.

BACKGROUND: In colorectal cancer (CRC) screening programs, accurately identifying individuals at hig...

Mar 2025 40157315
Deep Learning-Based Auto-Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy.

The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90...

Mar 2025 40152005
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