Gastroenterology

Deep learning as a novel method for endoscopic diagnosis of chronic atrophic gastritis: a prospective nested case-control study.

BACKGROUND AND AIMS: Chronic atrophic gastritis (CAG) is a precancerous disease that often leads to ...

EIEN: Endoscopic Image Enhancement Network Based on Retinex Theory.

In recent years, deep convolutional neural network (CNN)-based image enhancement has shown outstandi...

Transoral robotic excision of thyroglossal duct cyst using vestibular and sublingual incisions.

With the extension of remote-access head and neck surgery to improve postoperative cosmetic outcomes...

Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network.

INTRODUCTION: Device-assisted enteroscopy (DAE) plays a major role in the investigation and endoscop...

Automatic Detection of Liver Cancer Using Hybrid Pre-Trained Models.

Liver cancer is a life-threatening illness and one of the fastest-growing cancer types in the world....

Simultaneous robot-assisted abdominoperineal rectal resection and Retzius-sparing prostatectomy for synchronous rectal and prostate cancer - a video vignette.

Continuously sutured versus linear-stapled anastomosis in robot-assisted hybrid Ivor Lewis esophageal surgery following neoadjuvant chemoradiotherapy: a single-center cohort study.

BACKGROUND: Esophageal cancer surgery is technically highly demanding. During the past decade robot-...

Effect of clove on improving running ability in aging mice.

In this study, a D-galactose-induced aging mouse model was established, and Syringa oblata Lindl. ex...

Identifying endotypes of individuals after an attack of pancreatitis based on unsupervised machine learning of multiplex cytokine profiles.

After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes)...

Technical, functional, and oncological validity of robot-assisted total-intersphincteric resection (T-ISR) for lower rectal cancer.

BACKGROUND: Few studies fairly compared anorectal function and prognostic outcomes between patients ...

Clinical application of deep learning and radiomics in hepatic disease imaging: a systematic scoping review.

OBJECTIVE: Artificial intelligence (AI) has begun to play a pivotal role in hepatic imaging. This sy...

Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease.

Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disea...

A New Robotic Endoscope Holder for Ear and Sinus Surgery with an Integrated Safety Device.

In the field of sinus and ear surgery, and more generally in microsurgery, the surgeon is faced with...

Performance of a generative adversarial network using ultrasound images to stage liver fibrosis and predict cirrhosis based on a deep-learning radiomics nomogram.

AIM: To investigate the performance of a generative adversarial network (GAN) model for staging live...

The immuneoreaction and antioxidant status of Chinese mitten crab (Eriocheir sinensis) involve protein metabolism and the response of mTOR signaling pathway to dietary methionine levels.

To study the effects of dietary methionine on growth performance, immunity, antioxidant capacity, pr...

A minimally designed soft crawling robot for robust locomotion in unstructured pipes.

Soft robots have attracted increasing attention due to their excellent versatility and broad applica...

HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images.

BACKGROUND AND OBJECTIVE: The segmentation and visualization of liver vessels in 3D CT images are es...

Appropriate Supervised Machine Learning Techniques for Mesothelioma Detection and Cure.

Mesothelioma is a dangerous, violent cancer, which forms a protecting layer around inner tissues suc...

Novel surgical method for maintaining clear vision in robot-assisted laparoscopic rectal surgery: robot smoke suction technique-A video vignette.

Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study.

OBJECTIVE: To develop an imaging-derived biomarker for prediction of overall survival (OS) of pancre...

Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism.

PURPOSE: Liver cancer is one of the most common malignant tumors in the world, ranking fifth in mali...