Gastroenterology

Prediction of gastrointestinal functional state based on myoelectric recordings utilizing a deep neural network architecture.

Functional and motility-related gastrointestinal (GI) disorders affect nearly 40% percent of the pop...

Impact of robotic and open surgery on patient wound complications in gastric cancer surgery: A meta-analysis.

This meta-analysis is intended to evaluate the effect of both robotic and open-cut operations on pos...

Editorial Comment: Hepatic Steatosis-Contrast-Enhanced CT Is a Leading Mark.

Left recurrent nerve lymph node dissection in robotic esophagectomy for esophageal cancer without esophageal traction.

BACKGROUND: Because the robotic arm is located on the dorsal side of the patient, when the esophagus...

Robot-assisted endoscopic third ventriculostomy under intraoperative CT imaging guidance.

BACKGROUND: The robot-assisted neurosurgical procedures have recently benefited of the evolution of ...

Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality.

BACKGROUND: Colorectal cancers are the fourth most diagnosed cancer and the second leading cancer in...

Feasibility of on-demand robotics in colorectal surgery: first cases.

INTRODUCTION: The key benefits of robotics are improved precision and control, thanks to fully artic...

Prognostic impact of palpable prostate tumors on disease progression after robot-assisted radical prostatectomy: a single-center experience.

OBJECTIVE: This study aimed to evaluate the impact of palpable prostate tumors on digital rectal exa...

Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm.

OBJECTIVE: To evaluate the image quality and lesion detectability of pancreatic phase thin-slice com...

Follow-up of liver metastases: a comparison of deep learning and RECIST 1.1.

OBJECTIVES: To compare liver metastases changes in CT assessed by radiologists using RECIST 1.1 and ...

Non-endoscopic Applications of Machine Learning in Gastric Cancer: A Systematic Review.

PURPOSE: Gastric cancer is an important health burden characterized by high prevalence and mortality...

How appropriate are answers of online chat-based artificial intelligence (ChatGPT) to common questions on colon cancer?

Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately.

OBJECTIVE: The accurate diagnosis of mixed-type gastric cancer from pathology images presents a form...

Invited commentary: Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomy.

Surgical outcomes of a prospective, phase 2 trial of robotic surgery for resectable right-sided colon cancer (the ROBOCOLO trial).

AIM: We evaluated the safety of robotic surgery for right-sided colon cancer in Japan.

Generative Artificial Intelligence for Gastroenterology: Neither Friend nor Foe.

Global trends in robotic liver surgery: From bibliometrics and visualization research.

Editorial Comment: Implementing Deep Learning to Extrapolate Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI.

Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data.

The confounder-corrected chemical shift-encoded MRI (CSE-MRI) sequence used to determine proton den...

Evaluating staging laparoscopy indications for pancreatic cancer based on resectability classification and treatment strategies for patients with positive peritoneal washing cytology.

INTRODUCTION: The prognosis of pancreatic ductal adenocarcinoma (PDAC) in patients with positive per...

Standardization of robotic right liver mobilization.

BACKGROUND: Since its introduction 2 decades ago, robotics has been increasingly used for resection ...