Gastroenterology

Classification of intestinal T-cell receptor repertoires using machine learning methods can identify patients with coeliac disease regardless of dietary gluten status.

In coeliac disease (CeD), immune-mediated small intestinal damage is precipitated by gluten, leading...

Deep learning trained algorithm maintains the quality of half-dose contrast-enhanced liver computed tomography images: Comparison with hybrid iterative reconstruction: Study for the application of deep learning noise reduction technology in low dose.

PURPOSE: This study compares the image and diagnostic qualities of a DEep Learning Trained Algorithm...

A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder.

High-resolution manometry (HRM) is the primary method for diagnosing esophageal motility disorders a...

Magnetically actuated intelligent hydrogel-based child-parent microrobots for targeted drug delivery.

Small intestine-targeted drug delivery by oral administration has aroused the growing interest of re...

Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos.

Esophageal cancer is categorized as a type of disease with a high mortality rate. Early detection of...

Deep Ensemble Feature Network for Gastric Section Classification.

In this paper, we propose a novel deep ensemble feature (DEF) network to classify gastric sections f...

Perioperative and long-term outcomes of robot-assisted versus laparoscopy-assisted hemicolectomy for left-sided colon cancers: a retrospective study.

The objective of this study is to evaluate the perioperative and long-term outcomes of robot-assiste...

Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning.

IMPORTANCE: Occult peritoneal metastasis frequently occurs in patients with advanced gastric cancer ...

Worldwide diffusion of robotic approach in general surgery.

The robotic system has overcome some laparoscopic shortcomings, such as stereoscopic 3D-magnified vi...

Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.

Artificial intelligence can facilitate clinical decision making by considering massive amounts of me...

Pure and Hybrid Deep Learning Models can Predict Pathologic Tumor Response to Neoadjuvant Therapy in Pancreatic Adenocarcinoma: A Pilot Study.

BACKGROUND: Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; how...

State of the art in esophagectomy: robotic assistance in the abdominal phase.

Over the years, robot-assisted esophagectomy gained popularity. The current literature focused mainl...

Small Steatotic HCC: A Radiological Variant Associated With Improved Outcome After Ablation.

Percutaneous thermal ablation is a validated treatment option for small hepatocellular carcinoma (HC...

Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics.

BACKGROUND: The diagnosis of gastric cancer mainly relies on endoscopy, which is invasive and costly...

Robotic Left Hepatectomy for Giant Hemangioma: Technical Approach in Minimally Invasive Liver Surgery.

The Potential and the Limitations of Esophageal Robotic Surgery in Children.

INTRODUCTION:  There have been numerous reports of robotic pediatric surgery in the literature, part...

The role of quantitative HBsAg in the natural history of e antigen-negative chronic hepatitis B: A Tunisian prospective study.

BACKGROUND/AIMS: During the natural course of Chronic Hepatitis B (CHB) infection, differentiation b...

Robotic preservation of the left colic artery with lymph node dissection for rectal cancer - a video vignette.

Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images.

AIM: In this paper we proposed different architectures of convolutional neural network (CNN) to clas...

Deep learning-assisted magnetic resonance imaging prediction of tumor response to chemotherapy in patients with colorectal liver metastases.

Accurate evaluation of tumor response to preoperative chemotherapy is crucial for assigning appropri...

Does Robot Navigation and Intraoperative Computed Tomography Guidance Help with Percutaneous Endoscopic Lumbar Discectomy? A Match-Paired Study.

OBJECTIVE: To evaluate the efficacy and safety of robot-assisted percutaneous endoscopic lumbar disc...