Gastroenterology

Robotic Total Pancreatectomy: A Narrative Review.

BACKGROUND/AIM: Studies on robotic total pancreatectomy (RTP) have been limited regardless of the in...

Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value.

Abdominal CT is a frequently performed imaging examination for a wide variety of clinical indication...

A Survey on Machine Learning and Deep Learning-based Computer-Aided Methods for Detection of Polyps in CT Colonography.

BACKGROUND: Colon cancer generally begins as a neoplastic growth of tissue, called polyps, originati...

Constipation Predominant Irritable Bowel Syndrome and Functional Constipation Are Not Discrete Disorders: A Machine Learning Approach.

INTRODUCTION: Chronic constipation is classified into 2 main syndromes, irritable bowel syndrome wit...

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroent...

Potentials of AI in medical image analysis in Gastroenterology and Hepatology.

With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying pos...

Artificial intelligence in colonoscopy - Now on the market. What's next?

Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In ...

A Review on Multi-organ Cancer Detection Using Advanced Machine Learning Techniques.

Abnormal behaviors of tumors pose a risk to human survival. Thus, the detection of cancers at their ...

Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery.

Artificial Intelligence revolutionizes the drug development process that can quickly identify potent...

Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise.

Neural network-based solutions are under development to alleviate physicians from the tedious task o...

Artificial intelligence in gastrointestinal endoscopy.

Artificial intelligence in pancreaticobiliary endoscopy.

Artificial intelligence (AI) applications in health care have exponentially increased in recent year...

Artificial intelligence in upper GI endoscopy - current status, challenges and future promise.

White-light endoscopy with biopsy is the current gold standard modality for detecting and diagnosing...

Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.

OBJECTIVE: Gastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of po...

[A Case of Locally Advanced Rectal Cancer Treated by Robot Assisted Intersphincteric Resection after Neoadjuvant Chemotherapy].

We present a case of locally advanced rectal cancer(LARC)treated by robot assisted intersphincteric ...

Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks.

Whole-slide images (WSI) are digitized representations of thin sections of stained tissue from vario...

Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images.

Signet ring cell carcinoma (SRCC) of the stomach is a rare type of cancer with a slowly rising incid...

Clinical Target Volume Auto-Segmentation of Esophageal Cancer for Radiotherapy After Radical Surgery Based on Deep Learning.

Radiotherapy plays an important role in controlling the local recurrence of esophageal cancer after ...

Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography.

This study aimed to explore the ability of texture parameters combining with machine learning metho...

Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm.

OBJECTIVE: To assess clinical application of applying deep learning image reconstruction (DLIR) algo...

Prognosticating Outcome in Pancreatic Head Cancer With the use of a Machine Learning Algorithm.

The purpose of this project is to identify prognostic features in resectable pancreatic head adenoc...