AIMC Topic: Stomach
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Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Apr 18, 2023
INTRODUCTION: Esophagectomy is the mainstay of esophageal cancer treatment, but anastomotic insufficiency related morbidity and mortality remain challenging for patient outcome. Therefore, the objective of this work was to optimize anastomotic techni...
Role of artificial intelligence-guided esophagogastroduodenoscopy in assessing the procedural completeness and quality.
Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology
Jan 30, 2023
BACKGROUND AND AIMS: The quality of esophagogastroduodenoscopy (EGD) can have great impact on the detection of esophageal and gastric lesions, including malignancies. The aim of the study is to investigate the use of artificial intelligence (AI) duri...
SoRSS: A Soft Robot for Bio-Mimicking Stomach Anatomy and Motility.
Soft robotics
Nov 7, 2022
A human stomach is an organ in the digestive system that breaks down foods by physiological digestion, including mechanical and chemical functions. The mechanical function is controlled by peristaltic waves generated over the stomach body, known as a...
Development and multi-institutional validation of an artificial intelligence-based diagnostic system for gastric biopsy.
Cancer science
Aug 12, 2022
To overcome the increasing burden on pathologists in diagnosing gastric biopsies, we developed an artificial intelligence-based system for the pathological diagnosis of gastric biopsies (AI-G), which is expected to work well in daily clinical practic...
Combination of artificial intelligence-based endoscopy and miR148a methylation for gastric indefinite dysplasia diagnosis.
Journal of clinical laboratory analysis
Nov 22, 2021
BACKGROUND AND AIM: Gastrointestinal endoscopy and biopsy-based pathological findings are needed to diagnose early gastric cancer. However, the information of biopsy specimen is limited because of the topical procedure; therefore, pathology doctors s...
Smart surgical sutures using soft artificial muscles.
Scientific reports
Nov 17, 2021
Wound closure with surgical sutures is a critical challenge for flexible endoscopic surgeries. Substantial efforts have been introduced to develop functional and smart surgical sutures to either monitor wound conditions or ease the complexity of knot...
Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor-stroma ratio.
Scientific reports
Sep 28, 2021
The tumor-stroma ratio (TSR) determined by pathologists is subject to intra- and inter-observer variability. We aimed to develop a computational quantification method of TSR using deep learning-based virtual cytokeratin staining algorithms. Patients ...
Gastric polyp detection in gastroscopic images using deep neural network.
PloS one
Apr 28, 2021
This paper presents the research results of detecting gastric polyps with deep learning object detection method in gastroscopic images. Gastric polyps have various sizes. The difficulty of polyp detection is that small polyps are difficult to detect ...
Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome.
Nature communications
Mar 26, 2021
The stomach is inhabited by diverse microbial communities, co-existing in a dynamic balance. Long-term use of drugs such as proton pump inhibitors (PPIs), or bacterial infection such as Helicobacter pylori, cause significant microbial alterations. Ye...
Automated Segmentation Method for Low Field 3D Stomach MRI Using Transferred Learning Image Enhancement Network.
BioMed research international
Feb 11, 2021
Accurate segmentation of abdominal organs has always been a difficult problem, especially for organs with cavities. And MRI-guided radiotherapy is particularly attractive for abdominal targets compared with low CT contrast. But in the limit of radiot...
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