AIMC Topic: Gastrointestinal Tract
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The evolving role of EUS-guided tissue acquisition.
Journal of digestive diseases
Mar 11, 2021
The introduction of endoscopic ultrasound-guided fine-needle aspiration into clinical practice was a pivotal moment for diagnostic gastrointestinal endoscopy. It facilitates the ease of tissue acquisition from previously inaccessible sites. The perfo...
Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract.
IEEE journal of biomedical and health informatics
Feb 5, 2021
Accurate lesion segmentation based on endoscopy images is a fundamental task for the automated diagnosis of gastrointestinal tract (GI Tract) diseases. Previous studies usually use hand-crafted features for representing endoscopy images, while featur...
Optimization of probiotic therapeutics using machine learning in an artificial human gastrointestinal tract.
Scientific reports
Jan 13, 2021
The gut microbiota's metabolome is composed of bioactive metabolites that confer disease resilience. Probiotics' therapeutic potential hinges on their metabolome altering ability; however, characterizing probiotics' metabolic activity remains a formi...
Residual LSTM layered CNN for classification of gastrointestinal tract diseases.
Journal of biomedical informatics
Dec 1, 2020
nowadays, considering the number of patients per specialist doctor, the size of the need for automatic medical image analysis methods can be understood. These systems, which are very advantageous compared to manual systems both in terms of cost and t...
Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning-Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation.
Journal of medical Internet research
Nov 26, 2020
BACKGROUND: The early diagnosis of various gastrointestinal diseases can lead to effective treatment and reduce the risk of many life-threatening conditions. Unfortunately, various small gastrointestinal lesions are undetectable during early-stage ex...
Design and testing of a novel gastrointestinal microrobot.
Biomedical microdevices
Nov 17, 2020
In order to improve the reliability, safety and whole digestive applicability of the gastrointestinal microrobot (GMR), a novel inchworm-like GMR is proposed in this paper. The expanding mechanism of the robot adopts an overlapping expanding arm stru...
Detection of multiple lesions of gastrointestinal tract for endoscopy using artificial intelligence model: a pilot study.
Surgical endoscopy
Nov 13, 2020
BACKGROUND: This study was aimed to develop a computer-aided diagnosis (CAD) system with deep-learning technique and to validate its efficiency on detecting the four categories of lesions such as polyps, advanced cancer, erosion/ulcer and varices at ...
Artificial intelligence technology applications in the pathologic diagnosis of the gastrointestinal tract.
Future oncology (London, England)
Sep 5, 2020
Artificial intelligence (AI) is a complex technology with a steady flow of new applications, including in the pathology laboratory. Applications of AI in pathology are scarce but increasing; they are based on complex software-based machine learning w...
A systematic evaluation and optimization of automatic detection of ulcers in wireless capsule endoscopy on a large dataset using deep convolutional neural networks.
Physics in medicine and biology
Dec 5, 2019
Compared with conventional gastroscopy which is invasive and painful, wireless capsule endoscopy (WCE) can provide noninvasive examination of gastrointestinal (GI) tract. The WCE video can effectively support physicians to reach a diagnostic decision...
Machine learning prediction of emesis and gastrointestinal state in ferrets.
PloS one
Oct 18, 2019
Although electrogastrography (EGG) could be a critical tool in the diagnosis of patients with gastrointestinal (GI) disease, it remains under-utilized. The lack of spatial and temporal resolution using current EGG methods presents a significant roadb...
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