Gastroenterology

Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase.

Large slice thickness or slice increment causes information insufficiency of Computed Tomography (CT...

Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence.

BACKGROUND: Colorectal and gastric cancer are major causes of cancer-related deaths. In Korea, gastr...

Parallel, component training in robotic total mesorectal excision.

There has been widespread adoption of robotic total mesorectal excision (TME) for rectal cancer in r...

A comparative study between deep learning and radiomics models in grading liver tumors using hepatobiliary phase contrast-enhanced MR images.

PURPOSE: To compare a deep learning model with a radiomics model in differentiating high-grade (LR-3...

Editorial for "Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation".

Robot-assisted esophagectomy with robot-sewn intrathoracic anastomosis (Ivor Lewis): surgical technique and early results.

Esophagectomy is the selected treatment for nonmetastatic esophageal and esophagogastric junction ca...

Robotic major and minor hepatectomy: critical appraisal of learning curve and its impact on outcomes.

BACKGROUND: Robotic hepatectomy has gained increasing acceptance across the US. Although the robotic...

Efficacy of robot-assisted hepaticojejunostomy and laparoscopic-assisted hepaticojejunostomy in pediatric congenital choledochal dilatation: a system review and meta-analysis.

PURPOSE: The efficacy of robot-assisted hepaticojejunostomy (RAHJ) and laparoscopic-assisted hepatic...

A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma.

BACKGROUND: Histopathological grading is a significant risk factor for postsurgical recurrence in he...

An assessment of perioperative outcomes for open, laparoscopic, and robot-assisted pancreaticoduodenectomy.

Improving colorectal cancer screening - consumer-centred technological interventions to enhance engagement and participation amongst diverse cohorts.

The current "Gold Standard" colorectal cancer (CRC) screening approach of faecal occult blood test (...

Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning.

Ingestible robotic capsules with locomotion capabilities and on-board sampling mechanism have great ...

Automatic segmentation of hepatic metastases on DWI images based on a deep learning method: assessment of tumor treatment response according to the RECIST 1.1 criteria.

BACKGROUND: Evaluation of treated tumors according to Response Evaluation Criteria in Solid Tumors (...

Establishing an open and robotic pancreatic surgery program in a level 1 trauma center community teaching hospital and comparing its outcomes to high-volume academic center outcomes: a retrospective review.

BACKGROUND: The debate of whether to centralize hepato-pancreato-biliary surgery has been ongoing. T...

Minimally Invasive Lower Anterior Resections - Better than Open But Not All the Same.

Optimal approach for lower anterior resection has been closely debated. The relatively new addition...

A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR.

Among the most frequently diagnosed cancers in developing countries, esophageal squamous cell carcin...

Robotic versus open pancreaticoduodenectomy in elderly patients: a propensity score-matched analysis.

BACKGROUND: Pancreaticoduodenectomy (PD) is complex procedure with high morbidity in the elderly. Th...

Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images.

The aim of this study was to develop dual segmentation models for poorly and well-differentiated hep...

Introduction.

Endoscopic ultrasound (EUS) was born from the combination of a high-frequency ultrasound probe with ...

Computer-aided classification of colorectal segments during colonoscopy: a deep learning approach based on images of a magnetic endoscopic positioning device.

OBJECTIVE: Assessment of the anatomical colorectal segment of polyps during colonoscopy is important...

[Robot-assisted rectal resections-Scoping review for level 1a evidence and retrospective analysis of in-clinic data].

BACKGROUND: Robot-assisted rectal resections are said to overcome the known difficulties of laparosc...