Utilizing artificial intelligence in endoscopy: a clinician’s guide
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Utilizing artificial intelligence in endoscopy: a clinician’s guide
Authors
Keywords
-
Journal
Expert Review of Gastroenterology & Hepatology
Volume 14, Issue 8, Pages 689-706
Publisher
Informa UK Limited
Online
2020-06-05
DOI
10.1080/17474124.2020.1779058
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Artificial‐intelligence‐based detection of pharyngeal cancer using convolutional neural networks
- (2020) Atsuko Tamashiro et al. Digestive Endoscopy
- Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network
- (2020) Hiroaki Saito et al. GASTROINTESTINAL ENDOSCOPY
- Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)
- (2020) Albert J. de Groof et al. GASTROINTESTINAL ENDOSCOPY
- Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video)
- (2020) Rintaro Hashimoto et al. GASTROINTESTINAL ENDOSCOPY
- Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model
- (2020) Eun Mi Song et al. Scientific Reports
- Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study
- (2020) Pu Wang et al. Lancet Gastroenterology & Hepatology
- Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study
- (2019) M Everson et al. United European Gastroenterology Journal
- Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images
- (2019) Haya Alaskar et al. SENSORS
- Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy
- (2019) Lianlian Wu et al. GUT
- Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study
- (2019) Pu Wang et al. GUT
- Efficacy of Per-oral Methylene Blue Formulation for Screening Colonoscopya
- (2019) Alessandro Repici et al. GASTROENTEROLOGY
- Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding
- (2019) Grace Lai-Hung Wong et al. ALIMENTARY PHARMACOLOGY & THERAPEUTICS
- A deep neural network improves endoscopic detection of early gastric cancer without blind spots
- (2019) Lianlian Wu et al. ENDOSCOPY
- Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists
- (2019) Kentaro Nakagawa et al. GASTROINTESTINAL ENDOSCOPY
- Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging
- (2019) Lan Li et al. Gastric Cancer
- Gastroenterologist-level Identification of Small Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-learning Model
- (2019) Zhen Ding et al. GASTROENTEROLOGY
- Using deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video)
- (2019) Shi-Lun Cai et al. GASTROINTESTINAL ENDOSCOPY
- Sa1209 APPLICATION OF ARTIFICIAL INTELLIGENCE USING CONVOLUTIONAL NEURAL NETWORKS IN DIAGNOSING THE INVASION DEPTH OF ESOPHAGEAL SQUAMOUS CELL CARCINOMA
- (2019) Yoshitaka Tokai et al. GASTROINTESTINAL ENDOSCOPY
- Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms
- (2019) Shin-ei Kudo et al. Clinical Gastroenterology and Hepatology
- Real-time automated diagnosis of precancerous lesion and early esophageal squamous cell carcinoma using a deep learning model (with videos)
- (2019) LinJie Guo et al. GASTROINTESTINAL ENDOSCOPY
- Comparing blind spots of unsedated ultrafine, sedated, and unsedated conventional gastroscopy with and without artificial intelligence: a prospective, single-blind, 3-parallel-group, randomized, single-center trial
- (2019) Di Chen et al. GASTROINTESTINAL ENDOSCOPY
- Deep-learning based detection of gastric precancerous conditions
- (2019) Pedro Guimarães et al. GUT
- Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves “Resect and Discard” Thresholds
- (2019) Robin Zachariah et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy reading
- (2019) Tomonori Aoki et al. Digestive Endoscopy
- Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2019
- (2019) Raf Bisschops et al. ENDOSCOPY
- Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multi-Step Training and Validation Study with Benchmarking
- (2019) A.J. de Groof et al. GASTROENTEROLOGY
- Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy
- (2019) Eyal Klang et al. GASTROINTESTINAL ENDOSCOPY
- Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network
- (2019) Tomonori Aoki et al. JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
- Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy
- (2019) Masayoshi Yamada et al. Scientific Reports
- Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study
- (2019) Huiyan Luo et al. LANCET ONCOLOGY
- Validation study for development of the Japan NBI Expert Team classification of colorectal lesions
- (2018) Mineo Iwatate et al. Digestive Endoscopy
- Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
- (2018) Toshiaki Hirasawa et al. Gastric Cancer
- Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience
- (2018) Masashi Misawa et al. GASTROENTEROLOGY
- Deep Learning Localizes and Identifies Polyps in Real Time with 96% Accuracy in Screening Colonoscopy
- (2018) Gregor Urban et al. GASTROENTEROLOGY
- Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis
- (2018) Peng-Jen Chen et al. GASTROENTEROLOGY
- Association Between Risk Factors for Colorectal Cancer and Risk of Serrated Polyps and Conventional Adenomas
- (2018) Xiaosheng He et al. GASTROENTEROLOGY
- Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging
- (2018) Takashi Kanesaka et al. GASTROINTESTINAL ENDOSCOPY
- A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy
- (2018) Romain Leenhardt et al. GASTROINTESTINAL ENDOSCOPY
- Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning
- (2018) Jun-Yan He et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
- (2018) Dimitris K. Iakovidis et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
- (2018) Hirotoshi Takiyama et al. Scientific Reports
- Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy
- (2018) Yuichi Mori et al. ANNALS OF INTERNAL MEDICINE
- Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy
- (2018) Pu Wang et al. Nature Biomedical Engineering
- Detecting gastric cancer from video images using convolutional neural networks
- (2018) Mitsuaki Ishioka et al. Digestive Endoscopy
- Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
- (2018) Yoshimasa Horie et al. GASTROINTESTINAL ENDOSCOPY
- Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy
- (2018) Yan Zhu et al. GASTROINTESTINAL ENDOSCOPY
- Automated polyp detection in the colorectum: a prospective study (with videos)
- (2018) Peter Klare et al. GASTROINTESTINAL ENDOSCOPY
- Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
- (2018) Alanna Ebigbo et al. GUT
- Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
- (2018) J. Ferlay et al. INTERNATIONAL JOURNAL OF CANCER
- Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus
- (2018) Youichi Kumagai et al. Esophagus
- Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network
- (2018) Tomonori Aoki et al. GASTROINTESTINAL ENDOSCOPY
- Impact of physician compliance with colonoscopy surveillance guidelines on interval colorectal cancer
- (2017) Jennifer Nayor et al. GASTROINTESTINAL ENDOSCOPY
- Deep learning for polyp recognition in wireless capsule endoscopy images
- (2017) Yixuan Yuan et al. MEDICAL PHYSICS
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience
- (2017) Yoriaki Komeda et al. ONCOLOGY
- Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images
- (2017) Satoki Shichijo et al. EBioMedicine
- Generic feature learning for wireless capsule endoscopy analysis
- (2016) Santi Seguí et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Efficacy of double-scope endoscopic submucosal dissection and long-term outcomes of endoscopic resection for superficial pharyngeal cancer
- (2016) Toshiyuki Yoshio et al. Digestive Endoscopy
- Development of an e-learning system for teaching endoscopists how to diagnose early gastric cancer: basic principles for improving early detection
- (2016) Kenshi Yao et al. Gastric Cancer
- Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy
- (2016) Yoko Kominami et al. GASTROINTESTINAL ENDOSCOPY
- Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study
- (2016) Colin J Rees et al. GUT
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Usefulness of Non-Magnifying Narrow-Band Imaging in Screening of Early Esophageal Squamous Cell Carcinoma: A Prospective Comparative Study Using Propensity Score Matching
- (2014) Yasuaki Nagami et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- Endocytoscopic observation of various esophageal lesions at ×600: can nuclear abnormality be recognized?
- (2014) Y. Kumagai et al. DISEASES OF THE ESOPHAGUS
- Automatic lesion detection in capsule endoscopy based on color saliency: closer to an essential adjunct for reviewing software
- (2014) Dimitris K. Iakovidis et al. GASTROINTESTINAL ENDOSCOPY
- Analysis of Small-bowel Capsule Endoscopy Reading by Using Quickview Mode
- (2012) Akiko Shiotani et al. JOURNAL OF CLINICAL GASTROENTEROLOGY
- The American Society for Gastrointestinal Endoscopy PIVI (Preservation and Incorporation of Valuable Endoscopic Innovations) on real-time endoscopic assessment of the histology of diminutive colorectal polyps
- (2011) Douglas K. Rex et al. GASTROINTESTINAL ENDOSCOPY
- Original article: Prospective evaluation of narrow-band imaging endoscopy for screening of esophageal squamous mucosal high-grade neoplasia in experienced and less experienced endoscopists
- (2010) Ryu Ishihara et al. DISEASES OF THE ESOPHAGUS
- Early Detection of Superficial Squamous Cell Carcinoma in the Head and Neck Region and Esophagus by Narrow Band Imaging: A Multicenter Randomized Controlled Trial
- (2010) Manabu Muto et al. JOURNAL OF CLINICAL ONCOLOGY
- Endoscopic diagnosis of pharyngeal carcinoma by NBI
- (2008) S. Nonaka et al. ENDOSCOPY
- Transnasal endoscopy with narrow-band imaging and Lugol staining to screen patients with head and neck cancer whose condition limits oral intubation with standard endoscope (with video)
- (2008) Yi-Chia Lee et al. GASTROINTESTINAL ENDOSCOPY
- Endoscopic diagnosis of early squamous neoplasia of the esophagus with iodine staining: High-grade intra-epithelial neoplasia turns pink within a few minutes
- (2007) Yuichi Shimizu et al. JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started