Gastroenterology

Dietary Inhibitors of CYP3A4 Are Revealed Using Virtual Screening by Using a New Deep-Learning Classifier.

CYP3A4 is the main human enzyme responsible for phase I metabolism of dietary compounds, prescribed ...

Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer.

PURPOSE: We aimed to develop a noninvasive artificial intelligence (AI) model to diagnose signet-rin...

Soft hybrid intrinsically motile robot for wireless small bowel enteroscopy.

BACKGROUND: Difficulties in establishing diagnosis of small bowel (SB) disorders, prevented their ef...

Initial clinical experience with a novel flexible endoscopic robot for transanal surgery.

BACKGROUND: The Flex Robotic System (Medrobotics, Raynham, MA, USA) is the first miniaturised flexib...

Sequential endoscopic and robot-assisted surgical solutions for a rare fungal spondylodiscitis, secondary lumbar spinal stenosis, and subsequent discal pseudocyst causing acute cauda equina syndrome: a case report.

BACKGROUND: Fungal spondylodiscitis is a rare infectious disease. The secondary lumbar spinal stenos...

Development of a deep learning-based patient-specific target contour prediction model for markerless tumor positioning.

PURPOSE: For pancreatic cancer patients, image guided radiation therapy and real-time tumor tracking...

Autonomous robotic surgery makes light work of anastomosis.

An autonomous robotic laparoscopic surgical technique is capable of tracking tissue motion and offer...

Step by step revisiting and standardizing the robotic approach of complete mesocolic excision for right-sided colon cancer.

An Unsupervised Deep Learning Approach for Dynamic-Exponential Intravoxel Incoherent Motion MRI Modeling and Parameter Estimation in the Liver.

BACKGROUND: Dynamic-exponential intravoxel incoherent motion (IVIM) imaging is a potential technique...

Distortion and instability compensation with deep learning for rotational scanning endoscopic optical coherence tomography.

Optical Coherence Tomography (OCT) is increasingly used in endoluminal procedures since it provides ...

Automatic quantitative evaluation of normal pancreas based on deep learning in a Chinese adult population.

OBJECTIVE: To develop a 3D U-Net-based model for the automatic segmentation of the pancreas using th...

Robotic left-stapled total intracorporeal bowel anastomosis versus stapled partial extracorporeal anastomosis: operative technical description and outcomes.

BACKGROUND: Although there is extensive literature on robotic total intracorporeal anastomosis (TICA...

Robot-assisted versus video-assisted thoraco-laparoscopic McKeown's esophagectomy for esophageal cancer: a propensity score-matched analysis of minimally invasive approaches.

Minimally invasive esophagectomy for esophageal cancer decreases overall complication rate and leads...

Simplified robot-assisted endoscopic submucosal dissection for esophageal and gastric lesions: a randomized controlled porcine study (with videos).

BACKGROUND AND AIMS: Effective countertraction is a main challenging issue in endoscopic submucosal ...

Colon tissue image segmentation with MWSI-NET.

Developments in deep learning have resulted in computer-aided diagnosis for many types of cancer. Pr...

Design and implementation of a highly integrated dual hemisphere capsule robot.

To achieve cancer screening in any appointed position in 3D regions of the gastrointestinal (GI) tra...

Ultrasound Image-Guided Nerve Block Combined with General Anesthesia under an Artificial Intelligence Algorithm on Patients Undergoing Radical Gastrectomy for Gastric Cancer during and after Operation.

This study was aimed at investigating the location of gastric cancer by using a gastroscope image ba...

The Anti-Adiposity Mechanisms of Ampelopsin and Vine Tea Extract in High Fat Diet and Alcohol-Induced Fatty Liver Mouse Models.

(AG) is an ancient medicinal plant that is mainly distributed and used in southwest China. It exert...

Adopt or Abandon? Surgeon-Specific Trends in Robotic Bariatric Surgery Utilization Between 2010 and 2019.

It is unknown if surgeons are more likely to adopt or abandon robotic techniques given that bariatr...

Automated detection of ulcers and erosions in capsule endoscopy images using a convolutional neural network.

Capsule endoscopy (CE) is an important tool in the management of patients with known or suspected in...

Multimodal deep learning applied to classify healthy and disease states of human microbiome.

Metagenomic sequencing methods provide considerable genomic information regarding human microbiomes,...