Gastroenterology

Emerging Technologies for In Vitro Inhalation Toxicology.

Respiratory toxicology remains a major research area in the 21st century since current scenario of a...

Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled trial.

BACKGROUND: White light endoscopy is a pivotal first-line tool for the detection of gastric neoplasm...

Adoption of New Technologies: Artificial Intelligence.

Over the past decade, artificial intelligence (AI) has been broadly applied to many aspects of human...

Efficacy and safety of an open lung ventilation strategy with staircase recruitment followed by comparison on two different modes of ventilation, in moderate ARDS in cirrhosis: A pilot randomized trial.

BACKGROUND: Mechanical ventilation in cirrhosis with acute respiratory distress syndrome (ARDS) is n...

Colorectal cancer surgery: by Cambridge Medical Robotics Versius Surgical Robot System-a single-institution study. Our experience.

With the previous experiences in performing laparoscopic for over a period of 15 years and da Vinci ...

The Use of Robotics in Surgery of Benign Liver Diseases: A Systematic Review.

BACKGROUND: Surgical treatment of benign liver diseases (BLD) remains a field of conflict, due to in...

Prophylactic effect of . seed extract on inflammatory markers and histopathological changes in high-fat-fed ovariectomized rats.

BACKGROUND AND AIM: L. seeds (TFG) are used as spices in Indian cuisine. In Indian traditional medi...

The overview of the deep learning integrated into the medical imaging of liver: a review.

Deep learning (DL) is a recently developed artificial intelligent method that can be integrated into...

A novel approach for the analysis of time-course gene expression data based on computing with words.

In this paper, a novel approach is proposed for the analysis of time-course gene expression data bas...

The application of artificial intelligence in hepatology: A systematic review.

The integration of human and artificial intelligence (AI) in medicine has only recently begun but it...

Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease.

Modeling human diseases as networks simplify complex multi-cellular processes, helps understand patt...

Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity.

Adverse outcome pathways (AOPs) and their networks are important tools for the development of mechan...

Machine learning for selecting patients with Crohn's disease for abdominopelvic computed tomography in the emergency department.

BACKGROUND: Patients with Crohn's disease (CD) frequently undergo abdominopelvic computed tomography...

A Transabdominal Robotic Purse-String Suture Technique for Transanal Total Mesorectal Excision.

Transanal total mesorectal excision (TaTME) is a novel technique that overcomes the problem of acce...

Development of novel-nanobody-based lateral-flow immunochromatographic strip test for rapid detection of recombinant human interferon α2b.

Recombinant human interferon α2b (rhIFNα2b) is widely used as an antiviral therapy agent for the tre...

Robotic transanal total mesorectal excision combined with intersphincteric resection for ultra-low rectal cancer.

A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.

OBJECTIVE: To propose the prediction model for degree of differentiation for locally advanced esopha...

Dual-Organ Transcriptomic Analysis of Rainbow Trout Infected With Through Co-Expression and Machine Learning.

is a major pathogen that causes a high mortality rate in trout farms. However, systemic responses t...

Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos).

BACKGROUND AND AIMS: We aimed to develop and validate a deep learning-based system that covers vario...

Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis.

Body composition measures derived from already available electronic medical records (computed tomogr...

DeepHBV: a deep learning model to predict hepatitis B virus (HBV) integration sites.

BACKGROUND: The hepatitis B virus (HBV) is one of the main causes of viral hepatitis and liver cance...