Artificial intelligence in small bowel capsule endoscopy ‐ current status, challenges and future promise

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 for wireless capsule endoscopy: a systematic review and meta-analysis

(2020) Shelly Soffer et al.   GASTROINTESTINAL ENDOSCOPY

Endoscopic single-image size measurements

(2020) George Dimas et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Welcoming new guidelines for AI clinical research

(2020) Eric J. Topol   NATURE MEDICINE

Automatic evaluation of degree of cleanliness in capsule endoscopy based on a novel CNN architecture

(2020) Reinier Noorda et al.   Scientific Reports

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

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

Small-bowel capsule endoscopy and device-assisted enteroscopy for diagnosis and treatment of small-bowel disorders: European Society of Gastrointestinal Endoscopy (ESGE) Technical Review

(2018) Emanuele Rondonotti et al.   ENDOSCOPY

A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy

(2018) Romain Leenhardt et al.   GASTROINTESTINAL ENDOSCOPY

CapsoCam SV-1 Versus PillCam SB 3 in the Detection of Obscure Gastrointestinal Bleeding

(2018) Lilli L. Zwinger et al.   JOURNAL OF CLINICAL GASTROENTEROLOGY

Deep Endoscopic Visual Measurements

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

Artificial intelligence-enabled healthcare delivery

(2018) Sandeep Reddy et al.   JOURNAL OF THE ROYAL SOCIETY OF 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

Look-behind fully convolutional neural network for computer-aided endoscopy

(2018) Dimitrios E. Diamantis et al.   Biomedical Signal Processing and Control

Semantics derived automatically from language corpora contain human-like biases

(2017) Aylin Caliskan et al.   SCIENCE

A novel method for automatically locating the pylorus in the wireless capsule endoscopy

(2017) Shangbo Zhou et al.   Biomedical Engineering-Biomedizinische Technik

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

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

Wireless capsule endoscopy

(2013) Amy Wang et al.   GASTROINTESTINAL ENDOSCOPY

Can we improve the detection rate and interobserver agreement in capsule endoscopy?

(2012) Emanuele Rondonotti et al.   DIGESTIVE AND LIVER DISEASE

Inter-observer agreement on the interpretation of capsule endoscopy findings based on capsule endoscopy structured terminology: A multicenter study by the Korean Gut Image Study Group

(2010) Byung Ik Jang et al.   SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY