Adding artificial intelligence to gastrointestinal endoscopy
Today gastroenterologists face the challenge of how to perceive and interpret the high
volume—about 30 highdefinition frames per s—of rich visual data presented in real time …
volume—about 30 highdefinition frames per s—of rich visual data presented in real time …
Impact of artificial intelligence on colorectal polyp detection
Since colonoscopy and polypectomy were introduced, Colorectal Cancer (CRC) incidence
and mortality decreased significantly. Although we have entered the era of quality …
and mortality decreased significantly. Although we have entered the era of quality …
Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)
Background and Aims Artificial intelligence (AI)–assisted polyp detection systems for
colonoscopic use are currently attracting attention because they may reduce the possibility …
colonoscopic use are currently attracting attention because they may reduce the possibility …
[HTML][HTML] Challenges in artificial intelligence for polyp detection
Picking up advanced lesions with a subtle appearance has been a big challenge during
colonoscopy. Obviously, type 0ÀIIc neoplasms in the Paris classification1 and laterally …
colonoscopy. Obviously, type 0ÀIIc neoplasms in the Paris classification1 and laterally …
New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection
C Hassan, MB Wallace, P Sharma, R Maselli… - Gut, 2020 - gut.bmj.com
To improve colorectal polyp detection, a new artificial intelligence (AI) system (GI-Genius,
Medtronic) was trained and validated on a dataset of white-light endoscopy videos from a …
Medtronic) was trained and validated on a dataset of white-light endoscopy videos from a …
Su1642 automated polyp detection using deep learning: leveling the field
WE Karnes, T Alkayali, M Mittal, A Patel… - Gastrointestinal …, 2017 - giejournal.org
Aims and methods The aim of our study was to train a CNN model to detect polyps in
colonoscopic images of otherwise normal colons. CNN was trained and validated with a …
colonoscopic images of otherwise normal colons. CNN was trained and validated with a …
[HTML][HTML] State of the art: the impact of artificial intelligence in endoscopy 2020
J Lee, MB Wallace - Current gastroenterology reports, 2021 - Springer
Abstract Purpose of Review Recently numerous researchers have shown remarkable
progress using convolutional neural network-based artificial intelligence (AI) for endoscopy …
progress using convolutional neural network-based artificial intelligence (AI) for endoscopy …
[HTML][HTML] Detection of elusive polyps using a large-scale artificial intelligence system (with videos)
ABSTRACT Background and Aims Colorectal cancer is a leading cause of death.
Colonoscopy is the criterion standard for detection and removal of precancerous lesions and …
Colonoscopy is the criterion standard for detection and removal of precancerous lesions and …
Computer-aided detection of colorectal polyps using a newly generated deep convolutional neural network: from development to first clinical experience
L Pfeifer, C Neufert, M Leppkes… - European Journal of …, 2021 - journals.lww.com
Aim The use of artificial intelligence represents an objective approach to increase
endoscopist's adenoma detection rate (ADR) and limit interoperator variability. In this study …
endoscopist's adenoma detection rate (ADR) and limit interoperator variability. In this study …
Proceedings from the first global artificial intelligence in gastroenterology and endoscopy summit
Background and Aims Artificial intelligence (AI), specifically deep learning, offers the
potential to enhance the field of GI endoscopy in areas ranging from lesion detection and …
potential to enhance the field of GI endoscopy in areas ranging from lesion detection and …