Artificial intelligence and deep learning for small bowel capsule 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

Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit

(2020) Sravanthi Parasa et al.   GASTROINTESTINAL ENDOSCOPY

A primer on artificial intelligence and its application to endoscopy

(2020) Daljeet Chahal et al.   GASTROINTESTINAL ENDOSCOPY

Machine learning in GI endoscopy: practical guidance in how to interpret a novel field

(2020) Fons van der Sommen et al.   GUT

An Improved Classification and Localization Approach to Small Bowel Capsule Endoscopy Using Convolutional Neural Network

(2020) Yunseob Hwang et al.   Digestive Endoscopy

Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)

(2020) Masashi Misawa et al.   GASTROINTESTINAL ENDOSCOPY

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

(2020) Xiaoxuan Liu et al.   NATURE MEDICINE

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

(2020) Samantha Cruz Rivera et al.   NATURE MEDICINE

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

(2019) Pu Wang et al.   GUT

Addressing priority challenges in the detection and assessment of colorectal polyps from capsule endoscopy and colonoscopy in colorectal cancer screening using machine learning

(2019) Victoria Blanes-Vidal et al.   ACTA ONCOLOGICA

Performance measures for small-bowel endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative

(2019) Cristiano Spada et al.   ENDOSCOPY

Reporting of artificial intelligence prediction models

(2019) Gary S Collins et al.   LANCET

Gastroenterologist-level Identification of Small Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-learning Model

(2019) Zhen Ding et al.   GASTROENTEROLOGY

Artificial intelligence using a convolutional neural network for automatic detection of small‐bowel angioectasia in capsule endoscopy images

(2019) Akiyoshi Tsuboi et al.   Digestive Endoscopy

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

Application of Artificial Intelligence to Gastroenterology and Hepatology

(2019) Catherine Le Berre et al.   GASTROENTEROLOGY

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

Deep Endoscopic Visual Measurements

(2018) Dimitris K. Iakovidis et al.   IEEE Journal of Biomedical and Health Informatics

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

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

Clinical Practice Guidelines for the Use of Video Capsule Endoscopy

(2017) Robert A. Enns et al.   GASTROENTEROLOGY

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model

(2017) Michael F Byrne et al.   GUT

Deep learning for polyp recognition in wireless capsule endoscopy images

(2017) Yixuan Yuan et al.   MEDICAL PHYSICS

The validity of suspected blood indicator software in capsule endoscopy: a systematic review and meta-analysis

(2016) Diana E. Yung et al.   Expert Review of Gastroenterology & Hepatology

Deep learning

(2015) Yann LeCun et al.   NATURE

Software for enhanced video capsule endoscopy: challenges for essential progress

(2015) Dimitris K. Iakovidis et al.   Nature Reviews Gastroenterology & Hepatology

Wireless capsule endoscopy

(2013) Amy Wang et al.   GASTROINTESTINAL ENDOSCOPY

Detection of Lesions During Capsule Endoscopy: Physician Performance Is Disappointing

(2012) YuanPu Zheng et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

Can we shorten the small-bowel capsule reading time with the “Quick-view” image detection system?

(2012) Jean-Christophe Saurin et al.   DIGESTIVE AND LIVER DISEASE

Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy

(2012) S. Segui et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

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

Wireless Capsule Endoscopy Video Segmentation Using an Unsupervised Learning Approach Based on Probabilistic Latent Semantic Analysis With Scale Invariant Features

(2011) Yao Shen et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Indications and detection, completion, and retention rates of small-bowel capsule endoscopy: a systematic review

(2010) Zhuan Liao et al.   GASTROINTESTINAL ENDOSCOPY

Evaluation of RAPID® 5 Access software for examination of capsule endoscopies and reading of the capsule by an endoscopy nurse

(2010) Akiko Shiotani et al.   JOURNAL OF GASTROENTEROLOGY

Automated Topographic Segmentation and Transit Time Estimation in Endoscopic Capsule Exams

(2008) J. P. Silva Cunha et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING