Gastroenterology

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

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Consumption of hot protein-containing drink accelerates gastric emptying rate and is associated with higher hunger levels in older adults.

Meal temperature is known to affect gastric emptying and appetite. While protein intake is recommend...

Impact of thoracic shape on the surgical outcomes of laparoscopic-assisted living donor hepatectomy.

BACKGROUND: Although laparoscopic-assisted donor hepatectomy (LADH) has become the definitive proced...

Application of natural language processing to post-structuring of rectal cancer MRI reports.

AIM: To evaluate a natural language processing (NLP) system for extracting structured information fr...

Artificial intelligence-based analysis of time-lapse images of sphere formation and process of plate adhesion and spread of pancreatic cancer cells.

Most pancreatic cancers are pancreatic ductal adenocarcinomas (PDAC). Spherical morphology formed i...

Prediction and related genes of cancer distant metastasis based on deep learning.

Cancer metastasis is one of the main causes of cancer progression and difficulty in treatment. Genes...

COVID-19 Vaccination in Liver Cirrhosis: Safety and Immune and Clinical Responses.

INTRODUCTION: Three years after the beginning of the SARS-CoV-2 pandemic, the safety and efficacy of...

Prediction of histone deacetylase inhibition by triazole compounds based on artificial intelligence.

A quantitative structure-activity relationship (QSAR) study was conducted to predict the anti-colon ...

Unplanned conversions of robotic pancreaticoduodenectomy: short-term outcomes and suggested stepwise approach for a safe conversion.

OBJECTIVE: With the increased adoption of robotic pancreaticoduodenectomy, the effects of unplanned ...

Machine Learning-based Prediction of Postoperative Pancreatic Fistula Following Pancreaticoduodenectomy.

OBJECTIVE: The aim of this study was to develop a novel machine learning model to predict clinically...

Liver fibrosis classification from ultrasound using machine learning: a systematic literature review.

PURPOSE: Liver biopsy was considered the gold standard for diagnosing liver fibrosis; however, with ...

Deep learning-based vessel automatic recognition for laparoscopic right hemicolectomy.

BACKGROUND: In laparoscopic right hemicolectomy (RHC) for right-sided colon cancer, accurate recogni...

[Current CT developments in imaging of pancreatic diseases].

BACKGROUND: Diseases of the pancreas are often diagnosed late and can have fatal consequences for pa...

Using deep learning to assess the function of gastroesophageal flap valve according to the Hill classification system.

BACKGROUND: The endoscopic Hill classification of the gastroesophageal flap valve (GEFV) is of great...

Research on image recognition of three Fritillaria cirrhosa species based on deep learning.

Based on the deep learning method, a network model that can quickly and accurately identify the spec...

Development of a hybrid hydrogel for submucosal injection in endoscopic resection of gastrointestinal neoplasm: From laboratory to clinical trial.

Submucosal injection solution is essential for successful endoscopic resection of the early gastroi...

A survey on cancer detection via convolutional neural networks: Current challenges and future directions.

Cancer is a condition in which abnormal cells uncontrollably split and damage the body tissues. Henc...

Enhancing human-AI collaboration: The case of colonoscopy.

Diagnostic errors impact patient health and healthcare costs. Artificial Intelligence (AI) shows pro...

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