Gastroenterology

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

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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 39671432
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 39735590
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...

(1)
Dec 2024 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...

(1)
Dec 2024 39663331
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...

(1)
Dec 2024 39670860
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.

Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (...

(1)
Dec 2024 39406471
Unravelling metabolite-microbiome interactions in inflammatory bowel disease through AI and interaction-based modelling.

Inflammatory Bowel Diseases (IBDs) are chronic inflammatory disorders of the gastrointestinal tract ...

(1)
Dec 2024 39662756
UDP-glucuronosyltransferases 2A3 as a biomarker for ulcerative colitis and colon cancer.

BACKGROUND: Ulcerative colitis has a serious impact on the quality of life of patients and is more l...

Dec 2024 39717480
High-throughput platform for label-free sorting of 3D spheroids using deep learning.

End-stage liver diseases have an increasing impact worldwide, exacerbated by the shortage of transpl...

Dec 2024 39717531
ChatGPT-4o's performance on pediatric Vesicoureteral reflux.

INTRODUCTION: Vesicoureteral reflux (VUR) is a common congenital or acquired urinary disorder in chi...

Dec 2024 39694777
Revisiting the Endoscopic Third Ventriculostomy Success Score using machine learning: can we do better?

OBJECTIVE: The Endoscopic Third Ventriculostomy Success Score (ETVSS) is a useful decision-making he...

Dec 2024 39642367
Challenges and solutions of deep learning-based automated liver segmentation: A systematic review.

The liver is one of the vital organs in the body. Precise liver segmentation in medical images is es...

Dec 2024 39642700
Machine learning approach identifies inflammatory gene signature for predicting survival outcomes in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, of...

Dec 2024 39638834
Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet.

Cancer, a global health threat, demands effective diagnostic solutions to combat its impact on publi...

(1)
Dec 2024 39637456
Interpretable multi-modal artificial intelligence model for predicting gastric cancer response to neoadjuvant chemotherapy.

Neoadjuvant chemotherapy assessment is imperative for prognostication and clinical management of loc...

Dec 2024 39637859
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