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Subcategories: GERD Inflammatory Bowel Disease Irritable Bowel Syndrome Pancreatic Diseases Peptic Ulcer Disease

Showing 1114-1134 of 6,517 articles

Machine learning and multi-omics characterization of SLC2A1 as a prognostic factor in hepatocellular carcinoma: SLC2A1 is a prognostic factor in HCC.

Hepatocellular carcinoma (HCC) is characterized by high incidence, significant mortality, and marked...

Dec 2024 PMID: 39681148

Comparison between two artificial intelligence models to discriminate cancerous cell nuclei based on confocal fluorescence imaging in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) exhibits an exceptional intratumoral heterogeneity that m...

Dec 2024 PMID: 39674779

Incorporating patient-specific prior clinical knowledge to improve clinical target volume auto-segmentation generalisability for online adaptive radiotherapy of rectal cancer: A multicenter validation.

BACKGROUND & PURPOSE: Deep learning (DL) based auto-segmentation has shown to be beneficial for onli...

Dec 2024 PMID: 39675574

Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.

BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) ar...

Dec 2024 PMID: 39675656

Deep learning for segmentation of colorectal carcinomas on endoscopic ultrasound.

BACKGROUND: Bowel-preserving local resection of early rectal cancer is less successful if the tumor ...

Dec 2024 PMID: 39671056

Effects of corn oil ingestion on the intestinal mucosa of normal dogs.

INTRODUCTION: We assessed corn oil's oral effectiveness in detecting small bowel changes in healthy ...

Dec 2024 PMID: 39735590

Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning.

AIM: The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue ...

Dec 2024 PMID: 39735191

Random survival forest model for early prediction of Alzheimer's disease conversion in early and late Mild cognitive impairment stages.

With a clinical trial failure rate of 99.6% for Alzheimer's Disease (AD), early diagnosis is critica...

Dec 2024 PMID: 39671432

Prospective Evaluation of Real-Time Artificial Intelligence for the Hill Classification of the Gastroesophageal Junction.

BACKGROUND: Assessment of the gastroesophageal junction (GEJ) is an integral part of gastroscopy; ho...

Dec 2024 PMID: 39668544

Deep Learning Prediction of Drug-Induced Liver Toxicity by Manifold Embedding of Quantum Information of Drug Molecules.

PURPOSE: Drug-induced liver injury, or DILI, affects numerous patients and also presents significant...

Dec 2024 PMID: 39663331

Identification of key factors for malnutrition diagnosis in chronic gastrointestinal diseases using machine learning underscores the importance of GLIM criteria as well as additional parameters.

INTRODUCTION: Disease-related malnutrition is common but often underdiagnosed in patients with chron...

Dec 2024 PMID: 39726873

Quantitative fibrosis identifies biliary tract involvement and is associated with outcomes in pediatric autoimmune liver disease.

BACKGROUND: Children with autoimmune liver disease (AILD) may develop fibrosis-related complications...

Dec 2024 PMID: 39670860

Breath-hold diffusion-weighted MR imaging (DWI) using deep learning reconstruction: Comparison with navigator triggered DWI in patients with malignant liver tumors.

INTRODUCTION: This study investigated the feasibility of single breath-hold (BH) diffusion-weighted ...

Dec 2024 PMID: 39667265

Acupuncture and moxibustion as adjunctive therapy for postoperative gastrointestinal dysfunction in gastric cancer: a systematic review and network meta-analysis.

OBJECTIVES: This study aimed to evaluate and compare the efficacy and safety of different acupunctur...

Dec 2024 PMID: 39722829

Does machine learning improve prediction accuracy of the Endoscopic Third Ventriculostomy Success Score? A contemporary Hydrocephalus Clinical Research Network cohort study.

PURPOSE: This Hydrocephalus Clinical Research Network (HCRN) study had two aims: (1) to compare the ...

Dec 2024 PMID: 39658658

The Value of Machine Learning-based Radiomics Model Characterized by PET Imaging with Ga-FAPI in Assessing Microvascular Invasion of Hepatocellular Carcinoma.

RATIONALE AND OBJECTIVES: This study aimed to develop a radiomics model characterized by Ga-fibrobla...

Dec 2024 PMID: 39648099

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Machine learning and multi-omics characterization of SLC2A1 as a prognostic factor in hepatocellular carcinoma: SLC2A1 is a prognostic factor in HCC.

Comparison between two artificial intelligence models to discriminate cancerous cell nuclei based on confocal fluorescence imaging in hepatocellular carcinoma.

Incorporating patient-specific prior clinical knowledge to improve clinical target volume auto-segmentation generalisability for online adaptive radiotherapy of rectal cancer: A multicenter validation.

Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.

Deep learning for segmentation of colorectal carcinomas on endoscopic ultrasound.

Effects of corn oil ingestion on the intestinal mucosa of normal dogs.

Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning.

Random survival forest model for early prediction of Alzheimer's disease conversion in early and late Mild cognitive impairment stages.

Prospective Evaluation of Real-Time Artificial Intelligence for the Hill Classification of the Gastroesophageal Junction.

Deep Learning Prediction of Drug-Induced Liver Toxicity by Manifold Embedding of Quantum Information of Drug Molecules.

Identification of key factors for malnutrition diagnosis in chronic gastrointestinal diseases using machine learning underscores the importance of GLIM criteria as well as additional parameters.

Quantitative fibrosis identifies biliary tract involvement and is associated with outcomes in pediatric autoimmune liver disease.

Breath-hold diffusion-weighted MR imaging (DWI) using deep learning reconstruction: Comparison with navigator triggered DWI in patients with malignant liver tumors.

Acupuncture and moxibustion as adjunctive therapy for postoperative gastrointestinal dysfunction in gastric cancer: a systematic review and network meta-analysis.

Does machine learning improve prediction accuracy of the Endoscopic Third Ventriculostomy Success Score? A contemporary Hydrocephalus Clinical Research Network cohort study.

QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.

Unravelling metabolite-microbiome interactions in inflammatory bowel disease through AI and interaction-based modelling.

High-throughput platform for label-free sorting of 3D spheroids using deep learning.

UDP-glucuronosyltransferases 2A3 as a biomarker for ulcerative colitis and colon cancer.

ChatGPT-4o's performance on pediatric Vesicoureteral reflux.

The Value of Machine Learning-based Radiomics Model Characterized by PET Imaging with Ga-FAPI in Assessing Microvascular Invasion of Hepatocellular Carcinoma.

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