Gastroenterology

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

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Showing 1849-1869 of 7,580 articles
Integration of 101 machine learning algorithm combinations to unveil m6A/m1A/m5C/m7G-associated prognostic signature in colorectal cancer.

Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year o...

Feb 2025 39966486
Towards full integration of explainable artificial intelligence in colon capsule endoscopy's pathway.

Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of c...

Feb 2025 39966538
Quality review and content analysis of liver complications mobile apps in Iran: A statistical and machine learning approach.

BACKGROUND: Liver disease accounts for 4 % of global mortality. The advent of mobile technology has ...

Feb 2025 39970492
Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning.

BACKGROUND: 18-Fluoro-deoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) is ...

Feb 2025 39962481
Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donors.

BACKGROUND: Predicting long-term outcomes in liver transplantation remain a challenging endeavor. Th...

Feb 2025 39956905
CT-Based Deep Learning Predicts Prognosis in Esophageal Squamous Cell Cancer Patients Receiving Immunotherapy Combined with Chemotherapy.

RATIONALE AND OBJECTIVES: Immunotherapy combined with chemotherapy has improved outcomes for some es...

Feb 2025 39956748
FibrAIm - The machine learning approach to identify the early stage of liver fibrosis and steatosis.

BACKGROUND: Early recognition of steatosis (fatty liver) and fibrosis in liver health is crucial for...

Feb 2025 39983467
Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning.

The diagnosis of pancreatic cancer presents a significant challenge due to the asymptomatic nature o...

Feb 2025 39955532
A Bi-modal Temporal Segmentation Network for Automated Segmentation of Focal Liver Lesions in Dynamic Contrast-enhanced Ultrasound.

OBJECTIVE: To develop and validate an automated deep learning-based model for focal liver lesion (FL...

Feb 2025 39952824
A deep-learning model for predicting tyrosine kinase inhibitor response from histology in gastrointestinal stromal tumor.

Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predi...

Feb 2025 39950223
Robust multi-label surgical tool classification in noisy endoscopic videos.

Over the past few years, surgical data science has attracted substantial interest from the machine l...

Feb 2025 39952951
Survival machine learning model of T1 colorectal postoperative recurrence after endoscopic resection and surgical operation: a retrospective cohort study.

OBJECTIVE: To construct a postoperative recurrence prediction model for patients with T1 colorectal ...

Feb 2025 39953493
Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation.

Accurate three-dimensional (3D) segmentation of hepatic vascular networks is crucial for supporting ...

Feb 2025 39939404
Integrating single-cell sequencing and machine learning to uncover the role of mitophagy in subtyping and prognosis of esophageal cancer.

Globally, esophageal cancer stands as a prominent contributor to cancer-related fatalities, distingu...

Feb 2025 39948301
Functionally characterizing obesity-susceptibility genes using CRISPR/Cas9, in vivo imaging and deep learning.

Hundreds of loci have been robustly associated with obesity-related traits, but functional character...

Feb 2025 39948378
Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT.

PURPOSE: This study aims to explore the potential of non-contrast abdominal CT radiomics and deep le...

Feb 2025 39946425
Liver fibrosis progression analyzed with AI predicts renal decline.

BACKGROUND & AIMS: The relationship between biopsy-proven liver fibrosis progression and renal funct...

Feb 2025 40321195
Artificial Intelligence Model for Detection of Colorectal Cancer on Routine Abdominopelvic CT Examinations: A Training and External-Testing Study.

Radiologists are prone to missing some colorectal cancers (CRCs) on routine abdominopelvic CT exami...

Feb 2025 39936855
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