AIMC Topic: Endoscopy, Digestive System
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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...
Artificial intelligence-assisted cholangioscopy of malignant biliary strictures: Changing the paradigm?
Gastrointestinal endoscopy
Dec 23, 2022
Artificial intelligence for routine esophagogastroduodenoscopy quality monitoring: Is the future right before our eyes?
Gastrointestinal endoscopy
Apr 8, 2022
A deep learning-based system for real-time image reporting during esophagogastroduodenoscopy: a multicenter study.
Endoscopy
Mar 10, 2022
BACKGROUND AND STUDY AIMS: Endoscopic reports are essential for the diagnosis and follow-up of gastrointestinal diseases. This study aimed to construct an intelligent system for automatic photo documentation during esophagogastroduodenoscopy (EGD) an...
Automatic Identification of Papillary Projections in Indeterminate Biliary Strictures Using Digital Single-Operator Cholangioscopy.
Clinical and translational gastroenterology
Oct 27, 2021
INTRODUCTION: Characterization of biliary strictures is challenging. Papillary projections (PP) are often reported in biliary strictures with high malignancy potential during digital single-operator cholangioscopy. In recent years, the development of...
Artificial intelligence for automatic diagnosis of biliary stricture malignancy status in single-operator cholangioscopy: a pilot study.
Gastrointestinal endoscopy
Sep 8, 2021
BACKGROUND AND AIMS: The diagnosis and characterization of biliary strictures (BSs) is challenging. The introduction of digital single-operator cholangioscopy (DSOC) that allows direct visual inspection of the lesion and targeted biopsy sampling sign...
Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled trial.
The lancet. Gastroenterology & hepatology
Jul 21, 2021
BACKGROUND: White light endoscopy is a pivotal first-line tool for the detection of gastric neoplasms. However, gastric neoplasms can be missed during upper gastrointestinal endoscopy due to the subtle nature of these lesions and varying skill among ...
Comparison of diagnostic performance between convolutional neural networks and human endoscopists for diagnosis of colorectal polyp: A systematic review and meta-analysis.
PloS one
Feb 16, 2021
Prospective randomized trials and observational studies have revealed that early detection, classification, and removal of neoplastic colorectal polyp (CP) significantly improve the prevention of colorectal cancer (CRC). The current effectiveness of ...
Intelligent detection endoscopic assistant: An artificial intelligence-based system for monitoring blind spots during esophagogastroduodenoscopy in real-time.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Nov 30, 2020
BACKGROUND: Observation of the entire stomach during esophagogastroduodenoscopy (EGD) is important; however, there is a lack of effective evaluation tools.
Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet.
Computers in biology and medicine
Aug 7, 2020
BACKGROUND: Machine learning has led to several endoscopic studies about the automated localization of digestive lesions and prediction of cancer invasion depth. Training and validation dataset collection are required for a disease in each digestive ...
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