Gastroenterology

The potential role of machine learning in modelling advanced chronic liver disease.

The use of artificial intelligence is rapidly increasing in medicine to support clinical decision ma...

Comparison of image quality and pancreatic ductal adenocarcinoma conspicuity between the low-kVp and dual-energy CT reconstructed with deep-learning image reconstruction algorithm.

PURPOSE: To compare the image quality and conspicuity of pancreatic ductal adenocarcinoma (PDAC) bet...

A Deep Learning Workflow for Mass-Forming Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma Classification Based on MRI.

OBJECTIVE: Precise classification of mass-forming intrahepatic cholangiocarcinoma (MF-ICC) and hepat...

Domain generalization improves end-to-end object detection for real-time surgical tool detection.

PURPOSE: Computer assistance for endoscopic surgery depends on knowledge about the contents in an en...

Low-contrast-dose liver CT using low monoenergetic images with deep learning-based denoising for assessing hepatocellular carcinoma: a randomized controlled noninferiority trial.

OBJECTIVE: Low monoenergetic images obtained using noise-reduction techniques may reduce CT contrast...

Robotic operative strategy in locally advanced colon cancer-anatomical precision and the importance of fascial planes - A video vignette.

Usefulness of Breath-Hold Fat-Suppressed T2-Weighted Images With Deep Learning-Based Reconstruction of the Liver: Comparison to Conventional Free-Breathing Turbo Spin Echo.

OBJECTIVES: The aim of this study was to evaluate the usefulness of breath-hold turbo spin echo with...

Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry.

BACKGROUND: To develop an end-to-end deep learning method for automated quantitative assessment of p...

Safe implementation of robotic right colectomy with intracorporeal anastomosis.

The robotic platform can overcome technical difficulties associated with laparoscopic colon surgery....

Contrast-Enhanced Ultrasound with Deep Learning with Attention Mechanisms for Predicting Microvascular Invasion in Single Hepatocellular Carcinoma.

RATIONALE AND OBJECTIVES: Prediction of microvascular invasion (MVI) status of hepatocellular carcin...

Deep learning-based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer.

BACKGROUND: Personalized therapy planning remains a significant challenge in advanced colorectal can...

Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions.

We evaluated the effectiveness of automated segmentation of the liver and its vessels with a convolu...

Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning.

BACKGROUND: Treatment of obstructive sleep apnea is crucial for long term health and reduced economi...

Ultra-low-dose hepatic multiphase CT using deep learning-based image reconstruction algorithm focused on arterial phase in chronic liver disease: A non-inferiority study.

PURPOSE: This study determined whether image quality and detectability of ultralow-dose hepatic mult...

Microrobots for Targeted Delivery and Therapy in Digestive System.

Untethered miniature robots enable targeted delivery and therapy deep inside the gastrointestinal tr...

Hepatoprotective Activity of Lignin-Derived Polyphenols Dereplicated Using High-Resolution Mass Spectrometry, In Vivo Experiments, and Deep Learning.

Chronic liver diseases affect more than 1 billion people worldwide and represent one of the main pub...

Technique for Robotic Pancreaticojejunostomy.

BACKGROUND:: Minimally invasive, robotic techniques for hepatobiliary procedures offer the potential...

Invited Commentary: Perspective on Technique for Robotic Pancreaticojejunostomy.

Review of robot-assisted laparoscopic surgery in management of infant congenital urology: Advances and limitations in utilization and learning.

As robotic-assisted (RAL) surgery expanded to treat pediatric congenital disease, infant anatomy and...

A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video).

BACKGROUND: White light (WL) and weak-magnifying (WM) endoscopy are both important methods for diagn...

Classification of IHC Images of NATs With ResNet-FRP-LSTM for Predicting Survival Rates of Rectal Cancer Patients.

BACKGROUND: Over a decade, tissues dissected adjacent to primary tumors have been considered "normal...