Gastroenterology

Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion.

In clinical practice, automatic polyp segmentation from colonoscopy images is an effective assistant...

The feasibility to use artificial intelligence to aid detecting focal liver lesions in real-time ultrasound: a preliminary study based on videos.

Despite the wide availability of ultrasound machines for hepatocellular carcinoma surveillance, an i...

Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review.

Being a second most cause of mortality worldwide, cancer has been identified as a perilous disease f...

Prediction of microvascular invasion in hepatocellular carcinoma with expert-inspiration and skeleton sharing deep learning.

BACKGROUND AND AIMS: Radiological prediction of microvascular invasion (MVI) of hepatocellular carci...

Robotic versus Laparoscopic Total Mesorectal Excision Surgery in Rectal Cancer: Analysis of Medium-Term Oncological Outcomes.

. Robotic systems can overcome some limitations of laparoscopic total mesorectal excision (L-TME), t...

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 fun...

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)...

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...

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

The study was aimed at exploring the diagnostic value of artificial intelligence reconstruction algo...

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. Roboti...

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 graft...

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 cytopath...

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 r...

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

BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and ...

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 m...

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 imag...

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

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 recent...

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...

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 ...