Gastroenterology

Can maneuverability in the robot assisted laparoscopic stapler during ileoileal anastomosis compensate for shorter stapler length? - A randomized experimental porcine study.

BACKGROUND: Ileal anastomosis is imperative in patients given a urinary diversion during radical cystectomy. Proper handling and staplers with a certain length are important to prevent stenosis of the bowel. The study aim was to compare the circumference and diameter of ileoileal anastomoses using the Endo GIA tri-stapler 45 mm and 60 mm iDrive systems compared to the RAL Endowrist DaVinci 45 mm. ...

A multisystem-compatible deep learning-based algorithm for detection and characterization of angiectasias in small-bowel capsule endoscopy. A proof-of-concept study.

BACKGROUND AND AIMS: Current artificial intelligence (AI)-based solutions for capsule endoscopy (CE) interpretation are proprietary. We aimed to evaluate an AI solution trained on a specific CE system (Pillcam®, Medtronic) for the detection of angiectasias on images captured by a different proprietary system (MiroCam®, Intromedic).

Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping Review.

Inflammatory bowel diseases (IBD), subdivided into Crohn's disease (CD) and ulcerative colitis (UC), are chronic diseases that are characterized by re...

Predicting cytotoxicity of binary pollutants towards a human cell panel in environmental water by experimentation and deep learning methods.

Biological assays are useful in water quality evaluation by providing the overall toxicity of chemical mixtures in environmental waters. However, it i...

ESVM-SWRF: Ensemble SVM-based sample weighted random forests for liver disease classification.

Recently, a significant way to diagnose the disease is using the model of medical data mining. The most challenging task in the healthcare field is to...

Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos).

BACKGROUND AND AIMS: White-light endoscopy (WLE) is the most pivotal tool to detect gastric cancer in an early stage. However, the skill among endosco...

A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.

Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their e...

Change of Cytokines in Chronic Hepatitis B Patients and HBeAg are Positively Correlated with HBV RNA, Based on Real-world Study.

BACKGROUND AND AIMS: The natural course of chronic hepatitis B virus (HBV) infection is widely studied; however, follow-up studies of the same patient...

Acute toxicity of aqueous extract of Mill. on biochemical and histopathological parameters in rats.

Medicinal plants play an important role in the management of various diseases, so their use has become widespread. However, in some cases the populati...

Machine Learning Modeling from Omics Data as Prospective Tool for Improvement of Inflammatory Bowel Disease Diagnosis and Clinical Classifications.

Research of inflammatory bowel disease (IBD) has identified numerous molecular players involved in the disease development. Even so, the understanding...

Analysis of the Effect of Robots in the Treatment of Pancreatic Cancer Based on Smart Medicine.

In order to study the effect of robots in the treatment of pancreatic cancer in the context of smart medical, this paper improves the robot recognitio...

Postresection Period-Specific Hazard of Recurrence as a Framework for Surveillance Strategy in Patients with Hepatocellular Carcinoma: A Multicenter Outcome Study.

INTRODUCTION: In spite of the high frequency of recurrence of hepatocellular carcinoma (HCC) after resection, little evidence exists to directly help ...

Magneto-Responsive Microneedle Robots for Intestinal Macromolecule Delivery.

Oral administration is the most convenient and commonly used approach for drug delivery, while it is still a challenge to overcome the complicated gas...

Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study.

Histopathological growth patterns (HGPs) are independent prognosticators for colorectal liver metastases (CRLM). Currently, HGPs are determined postop...

An attention-based deep learning model for predicting microvascular invasion of hepatocellular carcinoma using an intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging.

The intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging (IVIM-DWI) with a series of images with different-values has ...

Robot-assisted Valvuloplastic Esophagogastrostomy by Double-flap Technique Using a Knifeless Linear Stapler After Proximal Gastrectomy.

After proximal gastrectomy, valvuloplastic esophagogastrostomy by double-flap technique could be the ideal reconstruction to prevent gastroesophageal ...

Gallstone Disease in Cirrhosis-Pathogenesis and Management.

Gallstones are more common in patients with cirrhosis of the liver, and the incidence increases with severity of liver disease. Pigment stones are the...

Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study.

BACKGROUND: Inadequate bowel preparation is associated with a decrease in adenoma detection rate (ADR). A deep learning-based bowel preparation assess...

Deep learning for automated bowel preparation assessment during colonoscopy: time to embrace a new approach?

Australian experience with robot-assisted Roux-en-Y gastric bypass with comparison to a conventional laparoscopic series.

BACKGROUND: Robotic surgery is a novel approach to abdominal surgery. In Australia, the uptake of robotic assistance for bariatric surgery has been re...