Gastroenterology

Diagnostic ability of deep learning in detection of pancreatic tumour.

Pancreatic cancer is associated with higher mortality rates due to insufficient diagnosis techniques...

Jejunum Patch Technique During Robot-Assisted Central Pancreatectomy: A Lesson from Open Procedure Experience.

BACKGROUND: Central pancreatectomy (CP) has been established as the most common type of parenchyma-s...

Beyond Clinical Accuracy: Considerations for the Use of Generative Artificial Intelligence Models in Gastrointestinal Care.

Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.

BACKGROUND: Postoperative gastrointestinal bleeding (GIB) is a rare but serious complication of bari...

Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.

Two tumor (Classical/Basal) and stroma (Inactive/active) subtypes of Pancreatic adenocarcinoma (PDAC...

A multi-modal deep neural network for multi-class liver cancer diagnosis.

Liver disease is a potentially asymptomatic clinical entity that may progress to patient death. This...

Solo surgery in robot-assisted gastrectomy versus laparoscopic gastrectomy for gastric cancer: a propensity score-matched analysis.

BACKGROUND: Robot-assisted gastrectomy (RG) for gastric cancer is still not well standardized. This ...

First case of robot-assisted radical cystectomy and intracorporeal neobladder reconstruction with the Hugo RAS system: step-by-step surgical setup and technique.

Robotic assisted radical cystectomy (RARC) is a standard option for the treatment of bladder cancer....

Robot-Assisted Transarterial Chemoembolization of Hepatocellular Carcinoma Using a Coaxial Microcatheter Driving Controller-Responder Robot System: Clinical Pilot Study.

PURPOSE: To evaluate the feasibility and safety of robot-assisted transarterial chemoembolization (T...

The Feasibility, Proficiency, and Mastery Learning Curves in 635 Robotic Pancreatoduodenectomies Following a Multicenter Training Program: "Standing on the Shoulders of Giants".

OBJECTIVE: To assess the feasibility, proficiency, and mastery learning curves for robotic pancreato...

Automatic Detection of Pancreatic Lesions and Main Pancreatic Duct Dilatation on Portal Venous CT Scans Using Deep Learning.

OBJECTIVES: This study proposes and evaluates a deep learning method to detect pancreatic neoplasms ...

Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV.

PURPOSE: Hepatic steatosis (fatty liver disease) affects 25% of the world's population, particularly...

Joint liver and hepatic lesion segmentation in MRI using a hybrid CNN with transformer layers.

UNLABELLED: Backgound and Objective: Deep learning-based segmentation of the liver and hepatic lesio...

Robot Assisted Laparoscopy Combined with Thoracoscopy in the Treatment of Hepatocellular Carcinoma with Inferior Vena Cava Tumor Thrombus.

BACKGROUND: Facing the 0.7-22% incidence rate of hepatocellular carcinoma (HCC) with inferior vena c...

Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos.

Surgical video analysis facilitates education and research. However, video recordings of endoscopic ...

Learning Curves in Establishing a New Minimally Invasive Pancreas Program.

INTRODUCTION: Robotic pancreaticoduodenectomy (rPD) is a complex operation with a reported learning ...

Surgical Sealant with Integrated Shape-Morphing Dual Modality Ultrasound and Computed Tomography Sensors for Gastric Leak Detection.

Postoperative anastomotic leaks are the most feared complications after gastric surgery. For diagnos...

Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection.

For the care of neonatal infants, abdominal auscultation is considered a safe, convenient, and inexp...

FRSR: Framework for real-time scene reconstruction in robot-assisted minimally invasive surgery.

3D reconstruction of the intra-operative scenes provides precise position information which is the f...

Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study.

INTRODUCTION: The Laurén classification is widely used for Gastric Cancer (GC) histology subtyping. ...

ASO Author Reflections: Immediate Postoperative High Syndecan-1 is an Early Biomarker for Morbidity After Robot-Assisted Esophagectomy.