Gastroenterology

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

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Showing 2017-2037 of 6,546 articles
Clinical cure induced by pegylated interferon α-2b in the advantaged population of chronic hepatitis B virus infection: a retrospective cohort study.

BACKGROUND: Among the advantaged population with clinical cure of chronic hepatitis B, chronic inact...

Comparison of hepatitis B and SARS-CoV2 vaccination rates in people who attended Drugs and Addiction Centres.

BACKGROUND AND AIMS: Persons with substance use disorder are at increased risk for hepatitis B virus...

Application of artificial intelligence in gastrointestinal endoscopy.

Endoscopy is an important method for diagnosing gastrointestinal (GI) diseases. In this study, we pr...

Two-stage deep-learning-based colonoscopy polyp detection incorporating fisheye and reflection correction.

BACKGROUND AND AIM: Colonoscopy is a useful method for the diagnosis and management of colorectal di...

Artificial Intelligence in endoscopy: A future poll.

Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical ap...

Intraoperative artificial intelligence system identifying liver vessels in laparoscopic liver resection: a retrospective experimental study.

BACKGROUND: The precise recognition of liver vessels during liver parenchymal dissection is the cruc...

Effect of Zoledronic Acid in Hepatic Osteodystrophy: A Double-Blinded Placebo-Controlled Trial.

PURPOSE: Literature on the treatment of pre-transplant hepatic osteodystrophy (HOD) is limited. The ...

Antioxidant, enzymes inhibitory, physicochemical and sensory properties of instant bio-yoghurts containing multi-purpose natural additives.

This study aimed to assess the antioxidant, enzyme inhibitory, physicochemical and sensory propertie...

Prediction of 30-Day Morbidity and Mortality After Conversion of Sleeve Gastrectomy to Roux-en-Y Gastric Bypass: Use of an Artificial Neural Network.

BACKGROUND: Conversion of sleeve gastrectomy to Roux-en-Y gastric bypass is indicated primarily for ...

Density clustering-based automatic anatomical section recognition in colonoscopy video using deep learning.

Recognizing anatomical sections during colonoscopy is crucial for diagnosing colonic diseases and ge...

The dysfunction in intestinal microorganisms and enzyme activity as significant contributors to diarrhea with kidney-yang deficiency syndrome.

OBJECT: To investigate the pathogenesis of diarrhea with kidney-yang deficiency syndrome by examinin...

Linked-color imaging with or without artificial intelligence for adenoma detection: a randomized trial.

BACKGROUND: Adenoma detection rate (ADR) is an important indicator of colonoscopy quality and colore...

Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study.

BACKGROUND: Despite the prognostic relevance of cachexia in pancreatic cancer, individual body compo...

Management and outcomes of brain metastases from pancreatic adenocarcinoma: a pooled analysis and literature review.

BACKGROUND: Brain metastases (BM) are rare in pancreatic ductal adenocarcinoma (PDAC) and little dat...

Establishment of a pathomic-based machine learning model to predict CD276 (B7-H3) expression in colon cancer.

CD276 is a promising prognostic indicator and an attractive therapeutic target in various malignanci...

Deep-learning reconstruction with low-contrast media and low-kilovoltage peak for CT of the liver.

AIM: To compare images using reduced CM, low-kVp scanning and DLR reconstruction with conventional i...

Automated artificial intelligence-based phase-recognition system for esophageal endoscopic submucosal dissection (with video).

BACKGROUND AND AIMS: Endoscopic submucosal dissection (ESD) for superficial esophageal cancer is a m...

Comparative analysis of radiomics and deep-learning algorithms for survival prediction in hepatocellular carcinoma.

To examine the comparative robustness of computed tomography (CT)-based conventional radiomics and d...

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