Gastroenterology

Design of wormlike automated robotic endoscope: dynamic interaction between endoscopic balloon and surrounding tissues.

BACKGROUND: The current design of capsule endoscope is limited by the inability to control the motio...

Demonstration of nasopharyngeal surgery with a single port operator-controlled flexible endoscope system.

BACKGROUND: Nasopharyngeal surgery is commonly performed with a rigid endoscope using a transnasal o...

Inhibitory activity of extracts of Hebridean brown seaweeds on lipase activity.

The effect of three Hebridean brown seaweeds on lipase activity was assessed using a turbidimetric l...

The learning curve in robotic distal pancreatectomy.

No data are available on the learning curve in robotic distal pancreatectomy (RADP). The learning cu...

Short-term clinical outcomes of robot-assisted intersphincteric resection and low rectal resection with double-stapling technique for cancer: a case-matched study.

Seasonal variation in onset and relapse of IBD and a model to predict the frequency of onset, relapse, and severity of IBD based on artificial neural network.

BACKGROUND: Previous research has yielded conflicting data as to whether the natural history of infl...

Correlation of esophageal clearance and dysphagia symptom assessment after treatment for achalasia.

BACKGROUND: Early relapse after treatment of achalasia occurs in 10-32 % of patients. The best metho...

Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

BACKGROUND AND AIMS: The adenoma detection rate (ADR) is a quality metric tied to interval colon can...

Cigarette smoke condensate and individual constituents modulate DNA methyltransferase expression in human liver cells.

OBJECTIVES: Previous studies found higher expression levels of DNA methyltransferase 1 in liver samp...

Transaxillary thyroidectomies: a comparative learning experience of robotic vs endoscopic thyroidectomies.

OBJECTIVE: Robotic and endoscopic approaches have become more accepted in thyroid surgery, with curr...

Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.

Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selecti...

Automated colon cancer detection using hybrid of novel geometric features and some traditional features.

Automatic classification of colon into normal and malignant classes is complex due to numerous facto...

Geometrical features assessment of liver's tumor with application of artificial neural network evolved by imperialist competitive algorithm.

Geometrical features of a cancerous tumor embedded in biological soft tissue, including tumor size a...

Multi-center colonoscopy quality measurement utilizing natural language processing.

BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could ...

Robotic liver surgery: preliminary experience in a tertiary hepato-biliary unit.

Minimally invasive liver surgery is performed with increasing frequency by hepatic surgeons. Laparos...

Development of an antidiabetic formulation (ADJ6) and its inhibitory activity against α-amylase and α-glucosidase.

There has recently been much advancement in the diagnosis, treatment, and research of metabolic diso...

Application of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china.

Accurate incidence forecasting of infectious disease provides potentially valuable insights in its o...

Robot-assisted surgery for gastric carcinoma: Five years follow-up and beyond: A single western center experience and long-term oncological outcomes.

INTRODUCTION: Robot-assisted surgery for the treatment of gastric cancer is considered to be safe an...

A miniaturized robotic platform for natural orifice transluminal endoscopic surgery: in vivo validation.

BACKGROUND: Natural orifice transluminal endoscopic surgery (NOTES) involves accessing the abdominal...

Serum tests, liver stiffness and artificial neural networks for diagnosing cirrhosis and portal hypertension.

BACKGROUND: The diagnostic performance of biochemical scores and artificial neural network models fo...

Analyses of a cirrhotic patient's evolution using self organizing mapping and Child-Pugh scoring.

Due to the importance of cirrhosis evolution, this study examined cirrhotic patients using Self Orga...