Gastroenterology

ASO Author Reflections: Can Artificial Intelligence Evaluate the Surgical Learning Curve of Robot-Assisted Minimally Invasive Esophagectomy?

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 liver fibrosis and its radiomics-based nomogram for predicting cirrhosis.

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, protein metabolism, inflammatory response and apopto...

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 applications. In this article, we present a minimally des...

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 essential for computer-aided diagnosis and preoperat...

Appropriate Supervised Machine Learning Techniques for Mesothelioma Detection and Cure.

Mesothelioma is a dangerous, violent cancer, which forms a protecting layer around inner tissues such as the lungs, stomach, and heart. We investigate...

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 pancreatic cancer by analyzing preoperative multiphase c...

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 malignant tumors. The degree of differentiation can re...

Combination of CDX2 H-score quantitative analysis with CD3 AI-guided analysis identifies patients with a good prognosis only in stage III colon cancer.

AIM: Stratification of colon cancer (CC) of patients with stage II and III for risk of relapse is still needed especially to drive adjuvant therapy ad...

Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis.

Self-supervised learning (SSL) can alleviate the issue of small sample size, which has shown its effectiveness for the computer-aided diagnosis (CAD) ...

LRFNet: A deep learning model for the assessment of liver reserve function based on Child-Pugh score and CT image.

BACKGROUND AND OBJECTIVE: Liver reserve function should be accurately evaluated in patients with hepatic cellular cancer before surgery to evaluate th...

Totally Endoscopic Robot-Assisted Aortic Valve Replacement and Complex Mitral Valve Repair: The Lateral Approach.

A 76-year-old male patient was referred to our institution with moderate-to-severe aortic and mitral insufficiency. The patient underwent totally endo...

Robotic Transgastric Reconstruction of the Double Lumen Esophagus.

Double lumen esophagus is an extremely rare condition, developing in most cases as a complication of antireflux procedures or gastroesophageal reflux ...

Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification.

Biomedical engineering is the application of the principles and problem-solving methods of engineering to biology along with medicine. Computation int...

Frame-by-Frame Analysis of a Commercially Available Artificial Intelligence Polyp Detection System in Full-Length Colonoscopies.

INTRODUCTION: Computer-aided detection (CADe) helps increase colonoscopic polyp detection. However, little is known about other performance metrics li...

Automated Surgical-Phase Recognition for Robot-Assisted Minimally Invasive Esophagectomy Using Artificial Intelligence.

BACKGROUND: Although a number of robot-assisted minimally invasive esophagectomy (RAMIE) procedures have been performed due to three-dimensional field...

Robot-assisted anterior resection for rectal cancer with double inferior vena cava: A case report.

Double inferior vena cava (DIVC) is a rare but generally asymptomatic condition that is often detected incidentally by radiological examinations such ...

MB-SupCon: Microbiome-based Predictive Models via Supervised Contrastive Learning.

Human microbiome consists of trillions of microorganisms. Microbiota can modulate the host physiology through molecule and metabolite interactions. In...

Predictors of operative difficulty in robotic low anterior resection for rectal cancer.

AIM: This study evaluates the relationship of tumour and anatomical features with operative difficulty in robotic low anterior resection performed by ...