Gastroenterology

Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time.

PURPOSE: To develop and evaluate the performance of a fully-automated convolutional neural network (...

Technique for Robotic Transhiatal Esophagectomy.

Minimally invasive esophagectomy is increasing performed for cancers of the esophagus and gastroesop...

Use of Artificial Intelligence-Based Analytics From Live Colonoscopies to Optimize the Quality of the Colonoscopy Examination in Real Time: Proof of Concept.

Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett's esophagus (with video).

BACKGROUND AND AIMS: The visual detection of early esophageal neoplasia (high-grade dysplasia and T1...

Experimental Investigation into the Dynamics of a Radially Contracting Actuator with Embedded Sensing Capability.

Dynamics, control, and sensing are still challenges for pneumatically actuated soft actuators. We co...

Deep learning algorithm detection of Barrett's neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video).

BACKGROUND AND AIMS: We assessed the preliminary diagnostic accuracy of a recently developed compute...

Robotic total mesorectal excision for mid-rectal cancer using the Senhance robotic platform - a video vignette.

A two-step automated quality assessment for liver MR images based on convolutional neural network.

PURPOSE: To propose an automatic approach based on a convolutional neural network (CNN) to evaluate ...

Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning.

OBJECTIVE: The aim of this study was to develop quantitative feature-based models from histopatholog...

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model.

We aimed to develop a computer-aided diagnostic system (CAD) for predicting colorectal polyp histolo...

Training and Validation of Deep Neural Networks for the Prediction of 90-Day Post-Liver Transplant Mortality Using UNOS Registry Data.

Prediction models of post-liver transplant mortality are crucial so that donor organs are not alloca...

Automated tracheal intubation in an airway manikin using a robotic endoscope: a proof of concept study.

Robotic endoscope-automated via laryngeal imaging for tracheal intubation (REALITI) has been develop...

Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After nearly a...

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound.

OBJECTIVES: We aimed to establish and validate an artificial intelligence-based radiomics strategy f...

Precise hepatectomy in the intelligent digital era.

In the past 20 years, the concept of surgery has undergone profound changes. Surgical practice has s...

Phytochemical, Antioxidant and Mitochondrial Permeability Transition Studies on Fruit-Skin Ethanol Extract of .

Uncontrolled cell proliferation hallmarks cancer and most cancer cells have developed multiple resis...

Impact of galactooligosaccharides delivered in ovo on mitigating negative effects of heat stress on performance and welfare of broilers.

Galactooligosaccharides (GOS) delivered in ovo improve intestinal health of broiler chickens. This s...

Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.

BACKGROUND AND AIM: Detecting blood content in the gastrointestinal tract is one of the crucial appl...

Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector ...

Machine Learning-Based Classification of the Health State of Mice Colon in Cancer Study from Confocal Laser Endomicroscopy.

In this article, we address the problem of the classification of the health state of the colon's wal...

Antimicrobial, anti-cancer, anti-filarial and anti-inflammatory activities of Cowabenzophenone A extracted from the endophytic fungus isolated from a mangrove plant .

Cowabenzophenone A was isolated from an endophytic fungus Aspergillus terreus isolated from a mangro...