Gastroenterology

Early relaparotomy following pediatric living-donor liver transplantation: experience in an Indonesian national referral hospital.

BACKGROUND: Living donor liver transplantation (LDLT) remains the only curative treatment for childr...

Learning curves in robot-assisted minimally invasive liver surgery at a high-volume center in Denmark: Report of the first 100 patients and review of literature.

BACKGROUND AND OBJECTIVE: Minimally invasive liver surgery is evolving worldwide, and robot-assisted...

Accurate intraoperative real-time blood flow assessment of the remnant stomach during robot-assisted distal pancreatectomy with celiac axis resection using indocyanine green fluorescence imaging and da Vinci Firefly technology.

INTRODUCTION: Ischemic gastropathy is one of the unique postoperative complications associated with ...

Robotic low anterior resection for low rectal cancer - A Video Vignette.

Role of artificial intelligence-guided esophagogastroduodenoscopy in assessing the procedural completeness and quality.

BACKGROUND AND AIMS: The quality of esophagogastroduodenoscopy (EGD) can have great impact on the de...

Safety and Feasibility of Robot-Assisted Minimally Invasive Esophagectomy (RAMIE) with Three-Field Lymphadenectomy and Neoadjuvant Chemoradiotherapy in Patients with Resectable Esophageal Cancer and Cervical Lymph Node Metastasis.

BACKGROUND: In the West, patients with cervical lymph node metastasis of resectable esophageal cance...

Robot-assisted TAMIS: a systematic review of feasibility and outcomes.

BACKGROUND: In the advancement of transanal local excision, robot-assisted transanal minimal invasiv...

Update on the Use of Artificial Intelligence in Hepatobiliary MR Imaging.

The application of machine learning (ML) and deep learning (DL) in radiology has expanded exponentia...

ASO Author Reflections: Robotic Transabdominal Approach for Gastroesophageal Junction Cancers in the Era of Multidisciplinary Treatment.

Implementing deep learning models for the classification of Echinococcus multilocularis infection in human liver tissue.

BACKGROUND: The histological diagnosis of alveolar echinococcosis can be challenging. Decision suppo...

Robotic pelvic side-wall lymph node dissection for rectal cancer: a systematic review of videos and application of the IDEAL 2A framework.

Lateral pelvic lymph node dissection (LPLND) in rectal cancer has gained increasing traction worldwi...

[Robotic versus laparoscopic rectal resection : Results of a randomized trial].

Topologically preserved registration of 3D CT images with deep networks.

. Computed Tomography (CT) image registration makes fast and accurate imaging-based disease diagnosi...

Do artificial neural networks love sex? How the combination of artificial neural networks with evolutionary algorithms may help to identify gender influence in rheumatic diseases.

Although medical research has been performed predominantly on men both in preclinical and clinical s...

Real-time fundus reconstruction and intraocular mapping using an ophthalmic endoscope.

BACKGROUND: Robotic ophthalmic endoscope holders allow surgeons to execute dual-hand operations in e...

FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation.

Automatic surgical instrument segmentation of endoscopic images is a crucial building block of many ...

Ultra-Attention: Automatic Recognition of Liver Ultrasound Standard Sections Based on Visual Attention Perception Structures.

Acquisition of a standard section is a prerequisite for ultrasound diagnosis. For a long time, there...

Intraprocedure Artificial Intelligence Alert System for Colonoscopy Examination.

Colonoscopy is a valuable tool for preventing and reducing the incidence and mortality of colorectal...

Machine Learning Models for Predicting the Outcomes of Surgical Treatment of Colorectal Liver Metastases.

BACKGROUND: Surgical intervention remains the cornerstone of a multidisciplinary approach in the tre...

[Technical modifications and outcome of the robot-assisted minimally-invasive esophagectomy (RAMIE)].

Machine learning improves the accuracy of graft weight prediction in living donor liver transplantation.

Precise graft weight (GW) estimation is essential for planning living donor liver transplantation to...