Gastroenterology

Artificial intelligence for the assessment of bowel preparation.

BACKGROUND AND AIMS: A reliable assessment of bowel preparation is important to ensure high-quality ...

Identifying Microbe-Disease Association Based on a Novel Back-Propagation Neural Network Model.

Over the years, numerous evidences have demonstrated that microbes living in the human body are clos...

Optimizing hepatitis B virus screening in the United States using a simple demographics-based model.

BACKGROUND AND AIMS: Chronic hepatitis B (CHB) affects >290 million persons globally, and only 10% h...

Robotic donor hepatectomy: A major breakthrough in living donor liver transplantation.

Living donation in many countries is the main resource of organs. Healthy, volunteering individuals ...

A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images.

Accurate liver segmentation is essential for radiation therapy planning of hepatocellular carcinoma ...

Implementation and Practice of Deep Learning-Based Instance Segmentation Algorithm for Quantification of Hepatic Fibrosis at Whole Slide Level in Sprague-Dawley Rats.

Exponential development in artificial intelligence or deep learning technology has resulted in more ...

Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection.

BACKGROUND AND OBJECTIVE: Currently, the best performing methods in colonoscopy polyp detection are ...

Baseline characteristics associated with survival in patients with hepatocellular carcinoma.

BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) is one of the most common and most lethal cancers...

Training in robotic Hepatobiliary and pancreatic surgery: a step up approach.

Robotic Transvaginal Natural Orifice Transluminal Endoscopic Surgery for Resection of Parametrial and Bowel Deeply Infiltrated Endometriosis.

STUDY OBJECTIVE: To demonstrate stepwise techniques for the successful utilization of the Robotic-as...

Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer.

This study presents a survival stratification model based on multi-omics integration using bidirect...

Upper endoscopy photodocumentation quality evaluation with novel deep learning system.

OBJECTIVES: Visualization and photodocumentation during endoscopy procedures are suggested to be one...

Esophageal discoid foreign body detection and classification using artificial intelligence.

BACKGROUND: Early and accurate radiographic diagnosis is required for the management of children wit...

Deep-learning model observer for a low-contrast hepatic metastases localization task in computed tomography.

PURPOSE: Conventional model observers (MO) in CT are often limited to a uniform background or varyin...

Detecting colon polyps in endoscopic images using artificial intelligence constructed with automated collection of annotated images from an endoscopy reporting system.

BACKGROUND: Artificial intelligence (AI) has made considerable progress in image recognition, especi...

Comparison of the short-term efficacy of two types of robotic total mesorectal excision for rectal cancer.

BACKGROUND: The advantages and disadvantages of robotic technology compared with conventional surger...

Effects of black cumin seed oil on oxidative stress and expression of membrane-cytoskeleton linker proteins, radixin, and moesin in streptozotocin-induced diabetic rat liver.

BACKGROUND AND AIM: This study examined the effects of black cumin seed oil treatment on oxidative s...

Antioxidant Activity of Rosmarinic Acid Extracted and Purified from .

Rosmarinic acid was obtained from methanolic extract of under a reflux condenser. The current study...

ROBOT-assisted pancreatoduodenectomy in 300 consecutive cases: Annual trend analysis and propensity score-matched comparison of perioperative and long-term oncologic outcomes with the open method.

BACKGROUND/PURPOSE: We previously reported perioperative and oncologic outcomes of robot-assisted pa...

Deep neural network for video colonoscopy of ulcerative colitis: a cross-sectional study.

BACKGROUND: A combination of endoscopic and histological evaluation is important in the management o...

Utilization of Ultrasonic Image Characteristics Combined with Endoscopic Detection on the Basis of Artificial Intelligence Algorithm in Diagnosis of Early Upper Gastrointestinal Cancer.

The aim of this study was to evaluate the diagnostic value of artificial intelligence algorithm comb...