Gastroenterology

A standardized stepwise approach to minimally invasive ileocolic anastomosis: Tips and tricks for laparoscopic and robotic surgery.

AIM: Intracorporeal anastomosis has been associated with earlier recovery of postoperative bowel function, shorter length of stay and lower surgical site infection rates. The aim of this work is to describe a step-by-step standardized technique for intracorporeal ileocolic and ileosigmoid anastomosis suitable for laparoscopic and robotic colectomy.

Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy.

AIMS: To compare endoscopy gastric cancer images diagnosis rate between artificial intelligence (AI) and expert endoscopists.

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.

Artificial intelligence (AI) can extract visual information from histopathological slides and yield biological insight and clinical biomarkers. Whole ...

Fusing pre-trained convolutional neural networks features for multi-differentiated subtypes of liver cancer on histopathological images.

Liver cancer is a malignant tumor with high morbidity and mortality, which has a tremendous negative impact on human survival. However, it is a challe...

Reconstruction Algorithm-Based CT Imaging for the Diagnosis of Hepatic Ascites.

The study was aimed at exploring the diagnostic value of artificial intelligence reconstruction algorithm combined with CT image parameters on hepatic...

Robotic colon surgery in obese patients: a systematic review and meta-analysis.

BACKGROUND: Colon cancer resection can be technically difficult in the obese (OB) population. Robotic surgery is a promising technique but its benefit...

Real-World Guidance from Artificial Intelligence? Predicting Outcomes of Inflammatory Bowel Disease Using Machine Learning.

Single-Port, Robot-Assisted Transanal Harvest of Rectal Mucosa Grafts for Substitution Urethroplasty.

OBJECTIVE: To describe a novel single-port, endorobotic technique for harvesting rectal mucosa grafts (RMGs) for urethral reconstruction.

A deep learning-based segmentation system for rapid onsite cytologic pathology evaluation of pancreatic masses: A retrospective, multicenter, diagnostic study.

BACKGROUND: We aimed to develop a deep learning-based segmentation system for rapid on-site cytopathology evaluation (ROSE) to improve the diagnostic ...

Robotic mitral valve plasty for isolated clefts of mitral valve leaflets.

A 21-year-old female patient referred to our institute had been suffering from severe mitral valve regurgitation due to a rare anomaly: a typical clef...

Robot-assisted liver resection: the real benefit so far.

BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and shorter hospital stay. However, the added benefit ...

Propensity-Matched Analysis of the Short-Term Outcome of Robot-Assisted Minimally Invasive Esophagectomy Versus Conventional Thoracoscopic Esophagectomy in Thoracic Esophageal Cancer.

BACKGROUND: In this matched-cohort study, we investigated the short-term outcome of robot-assisted minimally invasive esophagectomy (RAMIE) compared w...

Da Vinci Robot-Assisted Video Image Processing under Artificial Intelligence Vision Processing Technology.

This research was aimed to explore the application value of intelligent algorithm-based digital images in Da Vinci robot-assisted treatment of patient...

Artificial Intelligence Improves Detection at Colonoscopy: Why Aren't We All Already Using It?

Deep Learning for Automatic Hyoid Tracking in Videofluoroscopic Swallow Studies.

The hyoid bone excursion is one of the most important gauges of larynx elevation in swallowing, contributing to airway protection and bolus passage in...

The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection.

Automatic voice pathology detection is a research topic, which has gained increasing interest recently. Although methods based on deep learning are be...

Artificial Intelligence for Inflammatory Bowel Diseases (IBD); Accurately Predicting Adverse Outcomes Using Machine Learning.

BACKGROUND: Inflammatory Bowel Diseases with its complexity and heterogeneity could benefit from the increased application of Artificial Intelligence ...

Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models.

To visualise the tumours inside the body on a screen, a long and thin tube is inserted with a light source and a camera at the tip to obtain video fra...

Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease.

Machine learning algorithms are excellent techniques to develop prediction models to enhance response and efficiency in the health sector. It is the g...

Effect of endoscopic urethral procedures applied after robotic radical prostatectomy on urinary incontinence: A prospective cohort pilot study.

OBJECTIVES: The most common complications after radical prostatectomy (RP) are erectile dysfunction (ED) and urinary incontinence (UI). After RP, pati...