Gastroenterology

Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).

PURPOSE: Recently, two-dimensional-to-three-dimensional (2D-3D) deformable registration has been app...

Deep Learning-Based Diagnosis Method of Emergency Colorectal Pathology.

One of the most common malignant tumors of the digestive tract is emergency colorectal cancer. In re...

ASO Author Reflections: Applications of Artificial Intelligence in Oesophago-Gastric Malignancies-Present Work and Future Directions.

Our paper highlights the use of artificial intelligence (AI) in oesophageal and gastric malignancies...

Non-invasive diagnosis of Crohn's disease based on SERS combined with PCA-SVM.

Crohn's disease (CD) is an idiopathic chronic inflammatory bowel disease without a cure. Most of the...

Smart surgical sutures using soft artificial muscles.

Wound closure with surgical sutures is a critical challenge for flexible endoscopic surgeries. Subst...

The gospel of patients with ultra-low rectal cancer: robot-assisted intersphincteric resection-a video vignette.

Robotic local excision for rectal cancer using the da Vinci X robotic platform-A Video Vignette.

Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease.

Background Standardized manual region of interest (ROI) sampling strategies for hepatic MRI steatosi...

Ninety-day morbidity of robot-assisted redo surgery for recurrent rectal prolapse, mesh erosion and pelvic pain: lessons learned from 9 years' experience in a tertiary referral centre.

AIM: With increasing follow-up of patients treated with minimally invasive ventral mesh rectopexy (V...

Analysis of Gastrointestinal Acoustic Activity Using Deep Neural Networks.

Automated bowel sound (BS) analysis methods were already well developed by the early 2000s. Accuracy...

Supervised learning based on tumor imaging and biopsy transcriptomics predicts response of hepatocellular carcinoma to transarterial chemoembolization.

Although transarterial chemoembolization (TACE) is the most widely used treatment for intermediate-s...

A baseline model including quantitative anti-HBc to predict response of peginterferon in HBeAg-positive chronic hepatitis B patients.

BACKGROUND: Few models to predict antiviral response of peginterferon were used in hepatitis B e ant...

Learning curve for robotic bedside assistance for rectal cancer: application of the cumulative sum method.

BACKGROUND: This investigation assesses the learning curve for dedicated bedside assistance at a fac...

The emerging role of artificial intelligence in gastrointestinal endoscopy: A review.

Predictive Analysis and Evaluation Model of Chronic Liver Disease Based on BP Neural Network with Improved Ant Colony Algorithm.

Timely prediction of the mechanism and characteristics of chronic liver disease using next-generatio...

Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism.

BACKGROUND: A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was prop...

Robotic, totally endoscopic atrial septal defect repair.

Atrial septal defect accounts for 10-15% of congenital heart disease cases. Small-diameter atrial se...

State-of-the-art surgery for pancreatic cancer.

BACKGROUND: The d evelopment of surgical techniques and specialization and specifically complication...

Classification of target tissues of Eisenia fetida using sequential multimodal chemical analysis and machine learning.

Acquiring comprehensive knowledge about the uptake of pollutants, impact on tissue integrity and the...

Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis.

BACKGROUND: This study used machine learning and population data for testing the associations of pre...

Evaluating the presence of deregulated tumoral onco-microRNAs in serum-derived exosomes of gastric cancer patients as noninvasive diagnostic biomarkers.

Exosomal microRNAs (miRNAs) are emerging diagnostic biomarkers for different types of cancers. We a...