Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

Article Gastroenterology & Hepatology

Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study

Emanuele Rondonotti et al.

Summary: The present study demonstrates that real-time artificial intelligence (AI)-assisted optical diagnosis is accurate and useful for the diagnosis of diminutive rectosigmoid polyps (DRSPs), especially for nonexperts.

ENDOSCOPY (2023)

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Article Gastroenterology & Hepatology

Definition of competence standards for optical diagnosis of diminutive colorectal polyps: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

Britt B. S. L. Houwen et al.

Summary: ESGE has developed a core curriculum for high quality optical diagnosis training in Europe aiming to optimize clinical decision-making in endoscopy. Simple, safe, and easy-to-measure competence standards have been defined for endoscopists and artificial intelligence systems performing optical diagnosis of diminutive colorectal polyps. These standards are crucial for training and auditing the optical diagnosis performance.

ENDOSCOPY (2022)

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Article Gastroenterology & Hepatology

Effect of an artificial intelligence-based quality improvement system on efficacy of a computer-aided detection system in colonoscopy: a four-group parallel study

Liwen Yao et al.

Summary: This study evaluated the efficacy of combining the CADe and CAQ systems, showing that CAQ significantly improved the performance of CADe in improving the adenoma detection rate (ADR) in a four-group, parallel, controlled study.

ENDOSCOPY (2022)

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Article Gastroenterology & Hepatology

Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE study

Marco Spadaccini et al.

Summary: The aim of this study was to validate a previously developed classification of false-positive (FP) activations and compare the performances of different brands of approved computer-aided detection (CADe) systems. The results showed that there was no significant difference in the number and causes of false activations between the two different brands of CADe systems. The use of standardized nomenclature provided comparable results.

GASTROINTESTINAL ENDOSCOPY (2022)

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Article Surgery

Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy

Seong Ji Choi et al.

Summary: The research team successfully developed an AI-driven quality control system for EGD through convolutional neural networks, achieving high accuracy in classifying endoscopic images.

SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2022)

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Review Gastroenterology & Hepatology

Endoscopists' diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies

Leonardo Frazzoni et al.

Summary: The accuracy of endoscopists for the recognition of UGIN is suboptimal, even within a framework that included a higher prevalence and disease awareness. Future AI validation studies provide a framework to assess endoscopist competence.

ENDOSCOPY (2022)

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Article Gastroenterology & Hepatology

Severity of gastric intestinal metaplasia predicts the risk of gastric cancer: a prospective multicentre cohort study (GCEP)

Jonathan W. J. Lee et al.

Summary: This study found that gastric intestinal metaplasia (IM) is a significant risk factor for early gastric neoplasia (EGN) in regions with low-intermediate incidence of gastric cancer. Based on the results, it is recommended that high-risk patients (OLGIM III-IV) undergo endoscopic surveillance every 2 years, and intermediate-risk patients (OLGIM II) every 5 years.

GUT (2022)

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Article Gastroenterology & Hepatology

Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)

Jeremy R. Glissen Brown et al.

Summary: In a U.S. multicenter tandem colonoscopy randomized controlled trial, the use of a CADe-system was shown to decrease AMR and SSL miss rate while increasing first-pass APC compared to HDWL colonoscopy alone.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2022)

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Article Gastroenterology & Hepatology

Artificial intelligence and colonoscopy experience: lessons from two randomised trials

Alessandro Repici et al.

Summary: Artificial intelligence assistance during colonoscopy can increase adenoma detection rate (ADR) and related polyp parameters in less experienced examiners compared to the control group. The level of examiner experience does not play a significant role in determining ADR, as shown in this study.

GUT (2022)

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Article Gastroenterology & Hepatology

Endoscopic submucosal dissection for superficial gastrointestinal lesions: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2022

Pedro Pimentel-Nunes et al.

Summary: This guideline provides recommendations for the evaluation and treatment of superficial gastrointestinal lesions. It suggests that experienced endoscopists should use high definition white-light and chromoendoscopy for evaluation and recommends endoscopic submucosal dissection for most lesions. Different treatment approaches are suggested for specific situations. The guideline also provides recommendations for post-resection surveillance and treatment.

ENDOSCOPY (2022)

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Article Gastroenterology & Hepatology

Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia

Michael B. Wallace et al.

Summary: This study demonstrates that the use of artificial intelligence can significantly reduce the miss rate of colorectal neoplasia, especially for small and subtle lesions. This is of great importance in improving the prevention of colorectal cancer.

GASTROENTEROLOGY (2022)

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Review Surgery

Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis

Kaiwen Qin et al.

Summary: The systematic review showed that CNN application in WCE demonstrated high sensitivity and specificity for detecting ulcers/erosions, GI bleeding, and polyps/cancer. This suggests that CNN has the potential to become a crucial assistant in the diagnosis of WCE.

SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2022)

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Article Gastroenterology & Hepatology

Artificial Intelligence Allows Leaving-In-Situ Colorectal Polyps

Cesare Hassan et al.

Summary: This study demonstrates that artificial intelligence (AI) exceeds the required benchmarks for the optical diagnosis of colorectal polyps. AI could help implement cost-saving strategies in colonoscopy by reducing the burden of polypectomy and/or pathology.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2022)

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Article Gastroenterology & Hepatology

Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter study

Tomonori Aoki et al.

Summary: A deep learning CNN system was developed and tested for detecting various abnormalities in multicenter CE videos, showing a higher detection rate compared to the existing QuickView mode.

GASTROINTESTINAL ENDOSCOPY (2021)

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Review Gastroenterology & Hepatology

Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta-analysis

Ishita Barua et al.

Summary: Through analysis of five randomized trials, it was found that the introduction of AI systems in colonoscopy can increase the detection rates of polyps and adenomas, but has no significant effect on the detection rate of advanced adenomas.

ENDOSCOPY (2021)

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Review Gastroenterology & Hepatology

Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis

Cesare Hassan et al.

Summary: The meta-analysis found that incorporating artificial intelligence as an aid for detecting colorectal neoplasia significantly increases the detection rate of colorectal neoplasia, independently of the main adenoma characteristics.

GASTROINTESTINAL ENDOSCOPY (2021)

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Article Gastroenterology & Hepatology

Endoscopic prediction of submucosal invasion in Barrett's cancer with the use of artificial intelligence: a pilot study

Alanna Ebigbo et al.

Summary: This study demonstrates the multicenter application of an AI-based system in predicting submucosal invasion in endoscopic images of Barrett's cancer. The AI system performed equally to international experts in differentiating between T1a and T1b cancer lesions, but further improvements and application are needed.

ENDOSCOPY (2021)

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Article Gastroenterology & Hepatology

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

Xavier Dray et al.

Summary: Neural network-based solutions are being developed to aid physicians in reviewing small-bowel capsule endoscopy, with computer-assisted detection being a critical step. While weakly supervised solutions have shown promising results, more video-level evaluations and prospective studies are needed in the future.

JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2021)

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Article Gastroenterology & Hepatology

Intelligent detection endoscopic assistant: An artificial intelligence-based system for monitoring blind spots during esophagogastroduodenoscopy in real-time

Yan-Dong Li et al.

Summary: The study developed an AI-assisted EGD system IDEA, which showed high accuracy in real-time monitoring and automatic detection of blind spots. The system can serve as a powerful assistant tool for monitoring blind spots during the EGD procedure.

DIGESTIVE AND LIVER DISEASE (2021)

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Article Multidisciplinary Sciences

Development of a deep learning-based software for calculating cleansing score in small bowel capsule endoscopy

Ji Hyung Nam et al.

Summary: This study developed an automated software for calculating small bowel cleansing scores using deep learning, which showed significant performance in assessing small bowel preparation. The findings suggest a negative correlation between cleansing scores and clinical grading, with the potential to guide the detection of small bowel lesions.

SCIENTIFIC REPORTS (2021)

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Article Pathology

Life Cycle Greenhouse Gas Emissions of Gastrointestinal Biopsies in a Surgical Pathology Laboratory

Ilyssa O. Gordon et al.

Summary: Through a life cycle assessment, the study examined greenhouse gas emissions associated with processing gastrointestinal biopsies in healthcare settings, finding that the largest emissions came from tissue processing, followed by the production of disposable jars. Mitigation strategies could involve modifying guidelines to reduce greenhouse gas emissions.

AMERICAN JOURNAL OF CLINICAL PATHOLOGY (2021)

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Article Gastroenterology & Hepatology

Small Bowel Capsule Endoscopy and artificial intelligence: First or second reader?

Stefania Piccirelli et al.

Summary: Machine learning algorithms have developed in recent years to enhance the feasibility and diagnostic accuracy of SBCE. Deep learning systems have raised expectations for effective AI application in SBCE reading, particularly in automatically detecting and characterizing lesions to improve reading efficiency and reader attention. The use of AI as a first or second reader in SBCE requires further investigation into accuracy and cost-effectiveness, with current evaluations mainly focusing on AI as the first reader.

BEST PRACTICE & RESEARCH CLINICAL GASTROENTEROLOGY (2021)

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Article Gastroenterology & Hepatology

Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial

Shunsuke Kamba et al.

Summary: In a multicenter randomized controlled trial, it was found that the adenoma miss rate could be significantly reduced with CADe assistance based on deep learning, leading to a higher adenoma detection rate compared to standard colonoscopy.

JOURNAL OF GASTROENTEROLOGY (2021)

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Review Medicine, General & Internal

Systematic Review on Optical Diagnosis of Early Gastrointestinal Neoplasia

Andrej Wagner et al.

Summary: Endoscopic characterization of gastrointestinal neoplasias using image-enhanced and magnification endoscopy shows diagnostic accuracy over 90%, but further prospective clinical studies are needed for validation in various types of neoplasms.

JOURNAL OF CLINICAL MEDICINE (2021)

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Article Medicine, General & Internal

Development and Verification of a Deep Learning Algorithm to Evaluate Small-Bowel Preparation Quality

Ji Hyung Nam et al.

Summary: This study developed an objective small bowel cleansing score system using a deep learning algorithm, and demonstrated its good performance through clinical validation, supporting its practical use for evaluating small bowel preparation in capsule endoscopy.

DIAGNOSTICS (2021)

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Article Gastroenterology & Hepatology

Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network

Miguel Jose Mascarenhas Saraiva et al.

Summary: This study developed and tested a CNN-based model for automatic detection of multiple types of small bowel lesions and classification of the respective bleeding potential. This system may improve the diagnostic yield of CE for these lesions and overall CE efficiency.

BMJ OPEN GASTROENTEROLOGY (2021)

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Article Gastroenterology & Hepatology

Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis

Julia Arribas et al.

Summary: Studies have evaluated the diagnostic performance of artificial intelligence in detecting and characterizing upper gastrointestinal lesions, showing a high overall accuracy for diagnosing any neoplastic lesion of the upper GI tract independently of the underlying condition.

GUT (2021)

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Article Medicine, General & Internal

Cost-effectiveness of colonoscopy in an organized screening program

Bartlomiej Krzeczewski et al.

Summary: The study aimed to evaluate the cost-effectiveness of the colonoscopy screening program in Poland. Results showed a significant reduction in CRC incidence and mortality, indicating that the program was cost-effective in saving lives.

POLISH ARCHIVES OF INTERNAL MEDICINE-POLSKIE ARCHIWUM MEDYCYNY WEWNETRZNEJ (2021)

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Article Gastroenterology & Hepatology

A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopy

Romain Leenhardt et al.

Summary: The study evaluated a neural network-based algorithm for automated assessment of small-bowel cleanliness during capsule endoscopy. The algorithm demonstrated high sensitivity, good reproducibility, and potential for automated, standardized SBCE reports.

ENDOSCOPY (2021)

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Article Gastroenterology & Hepatology

Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos)

LinJie Guo et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

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

Di Chen et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study

Jing-Ran Su et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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News Item Gastroenterology & Hepatology

Real-time use of artificial intelligence in the evaluation of cancer in Barrett's oesophagus

Alanna Ebigbo et al.

GUT (2020)

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News Item Gastroenterology & Hepatology

Deep-learning based detection of gastric precancerous conditions

Pedro Guimaraes et al.

GUT (2020)

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Article Gastroenterology & Hepatology

AGA Clinical Practice Update on Endoscopic Treatment of Barrett's Esophagus With Dysplasia and/or Early Cancer: Expert Review

Prateek Sharma et al.

GASTROENTEROLOGY (2020)

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Article Gastroenterology & Hepatology

Deep-Learning System Detects Neoplasia in Patients With Barrett's Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking

Albert J. de Groof et al.

GASTROENTEROLOGY (2020)

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Article Gastroenterology & Hepatology

Endoscopic detection and differentiation of esophageal lesions using a deep neural network

Masayasu Ohmori et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

A novel artificial intelligence system for the assessment of bowel preparation

Jie Zhou et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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News Item Gastroenterology & Hepatology

New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection

Cesare Hassan et al.

GUT (2020)

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Article Gastroenterology & Hepatology

Deep learning algorithm detection of Barrett's neoplasia with high accuracy during live endoscopic procedures: a pilot study

Albert J. de Groof et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett's esophagus (with video)

Rintaro Hashimoto et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma

Yoshitaka Tokai et al.

ESOPHAGUS (2020)

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Article Gastroenterology & Hepatology

Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study

Dexin Gong et al.

LANCET GASTROENTEROLOGY & HEPATOLOGY (2020)

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Article Gastroenterology & Hepatology

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

Pu Wang et al.

LANCET GASTROENTEROLOGY & HEPATOLOGY (2020)

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Article Gastroenterology & Hepatology

Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial

Alessandro Repici et al.

GASTROENTEROLOGY (2020)

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Article Gastroenterology & Hepatology

Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)

Yuichi Mori et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

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

Sravanthi Parasa et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Review Gastroenterology & Hepatology

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

Shelly Soffer et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

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

Fons van der Sommen et al.

GUT (2020)

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Article Gastroenterology & Hepatology

Curriculum for small-bowel capsule endoscopy and device-assisted enteroscopy training in Europe: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

Reena Sidhu et al.

ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study

Pu Wang et al.

GASTROENTEROLOGY (2020)

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Review Gastroenterology & Hepatology

Accuracy of artificial intelligence-assisted detection of upper GI lesions: a systematic review and meta-analysis

Thomas K. L. Lui et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

Computer-aided detection-assisted colonoscopy: classification and relevance of false positives

Cesare Hassan et al.

GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligence

Yusaku Shimamoto et al.

JOURNAL OF GASTROENTEROLOGY (2020)

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Article Multidisciplinary Sciences

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

Reinier Noorda et al.

SCIENTIFIC REPORTS (2020)

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Article Gastroenterology & Hepatology

Using artificial intelligence to improve adequacy of inspection in gastrointestinal endoscopy

Piet C. de Groen

TECHNIQUES AND INNOVATIONS IN GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

Barriers and pitfalls for artificial intelligence in gastroenterology: Ethical and regulatory issues

Omer F. Ahmad et al.

TECHNIQUES AND INNOVATIONS IN GASTROINTESTINAL ENDOSCOPY (2020)

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Article Gastroenterology & Hepatology

Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy

Wen-Na Liu et al.

SAUDI JOURNAL OF GASTROENTEROLOGY (2020)

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Article Gastroenterology & Hepatology

Management of epithelial precancerous conditions and lesions in the stomach (MAPS II): European Society of Gastrointestinal Endoscopy (ESGE), European Helicobacter and Microbiota Study Group (EHMSG), European Society of Pathology (ESP), and Sociedade Portuguesa de Endoscopia Digestiva (SPED) guideline update 2019

Pedro Pimentel-Nunes et al.

ENDOSCOPY (2019)

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Article Gastroenterology & Hepatology

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

Pu Wang et al.

GUT (2019)

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Article Gastroenterology & Hepatology

Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy

Lianlian Wu et al.

GUT (2019)

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Article Gastroenterology & Hepatology

A deep neural network improves endoscopic detection of early gastric cancer without blind spots

Lianlian Wu et al.

ENDOSCOPY (2019)

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Article Gastroenterology & Hepatology

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

Cristiano Spada et al.

ENDOSCOPY (2019)

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Article Gastroenterology & Hepatology

Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists

Kentaro Nakagawa et al.

GASTROINTESTINAL ENDOSCOPY (2019)

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Article Gastroenterology & Hepatology

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

Zhen Ding et al.

GASTROENTEROLOGY (2019)

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Article Gastroenterology & Hepatology

Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2019

Raf Bisschops et al.

ENDOSCOPY (2019)

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Article Gastroenterology & Hepatology

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

Yoshimasa Horie et al.

GASTROINTESTINAL ENDOSCOPY (2019)

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Article Gastroenterology & Hepatology

Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus

Youichi Kumagai et al.

ESOPHAGUS (2019)

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Article Gastroenterology & Hepatology

Rate of missed oesophageal cancer at routine endoscopy and survival outcomes: A multicentric cohort study

Enrique Rodriguez de Santiago et al.

UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2019)

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Article 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

M. Everson et al.

UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2019)

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Article Gastroenterology & Hepatology

Endoscopic grading of gastric intestinal metaplasia (EGGIM): a multicenter validation study

Gianluca Esposito et al.

ENDOSCOPY (2019)

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Article Engineering, Biomedical

Upper gastrointestinal anatomy detection with multi-task convolutional neural networks

Zhang Xu et al.

HEALTHCARE TECHNOLOGY LETTERS (2019)

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Article Gastroenterology & Hepatology

Endoscopic screening for gastric cancer: A cost-utility analysis for countries with an intermediate gastric cancer risk

Miguel Areia et al.

UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2018)

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Editorial Material Gastroenterology & Hepatology

Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

Masashi Misawa et al.

GASTROENTEROLOGY (2018)

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Article Gastroenterology & Hepatology

Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy

Gregor Urban et al.

GASTROENTEROLOGY (2018)

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Review Biotechnology & Applied Microbiology

Diagnostic Accuracy of Magnifying Endoscopy with Narrow Band Imaging and Its Diagnostic Value for Invasion Depth Staging in Esophageal Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis

Tingting Yu et al.

BIOMED RESEARCH INTERNATIONAL (2018)

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Article Medicine, General & Internal

Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy A Prospective Study

Yuichi Mori et al.

ANNALS OF INTERNAL MEDICINE (2018)

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Article Gastroenterology & Hepatology

OLGA Gastritis Staging for the Prediction of Gastric Cancer Risk: A Long-term Follow-up Study of 7436 Patients

Massimo Rugge et al.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2018)

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Article Gastroenterology & Hepatology

Performance measures for ERCP and endoscopic ultrasound: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative

Dirk Domagk et al.

ENDOSCOPY (2018)

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Article Gastroenterology & Hepatology

Development and validation of a computed assessment of cleansing score for evaluation of quality of small-bowel visualization in capsule endoscopy

Einas Abou Ali et al.

ENDOSCOPY INTERNATIONAL OPEN (2018)

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Article Gastroenterology & Hepatology

Performance measures for lower gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative

Michal F. Kaminski et al.

ENDOSCOPY (2017)

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Article Gastroenterology & Hepatology

Risk Stratification for Covert Invasive Cancer Among Patients Referred for Colonic Endoscopic Mucosal Resection: A Large Multicenter Cohort

Nicholas G. Burgess et al.

GASTROENTEROLOGY (2017)

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Article Gastroenterology & Hepatology

Clinical Practice Guidelines for the Use of Video Capsule Endoscopy

Robert A. Enns et al.

GASTROENTEROLOGY (2017)

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Article Gastroenterology & Hepatology

Prediction model for non-curative resection of endoscopic submucosal dissection in patients with early gastric cancer

Eun Hye Kim et al.

GASTROINTESTINAL ENDOSCOPY (2017)

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Article Biology

Intelligent visual localization of wireless capsule endoscopes enhanced by color information

George Dimas et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2017)

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Article Medicine, General & Internal

Screening for Colorectal Cancer With Fecal Immunochemical Testing With and Without Postpolypectomy Surveillance Colonoscopy A Cost-Effectiveness Analysis

Marjolein J. E. Greuter et al.

ANNALS OF INTERNAL MEDICINE (2017)

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Article Gastroenterology & Hepatology

The European Society of Gastrointestinal Endoscopy Quality Improvement Initiative: developing performance measures

Matthew D. Rutter et al.

ENDOSCOPY (2016)

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Review Gastroenterology & Hepatology

Validated Scales for Colon Cleansing: A Systematic Review

Robin Parmar et al.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2016)

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Article Gastroenterology & Hepatology

Validated computed cleansing score for video capsule endoscopy

Amir Klein et al.

DIGESTIVE ENDOSCOPY (2016)

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Article Gastroenterology & Hepatology

Performance measures for upper gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative

Raf Bisschops et al.

ENDOSCOPY (2016)

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Review Gastroenterology & Hepatology

Missing rate for gastric cancer during upper gastrointestinal endoscopy: a systematic review and meta-analysis

Ana Rita Pimenta-Melo et al.

EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY (2016)

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Review Gastroenterology & Hepatology

Magnitude of Missed Esophageal Adenocarcinoma After Barrett's Esophagus Diagnosis: A Systematic Review and Meta-analysis

Kavel Visrodia et al.

GASTROENTEROLOGY (2016)

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Article Gastroenterology & Hepatology

A tablet-interfaced high-resolution microendoscope with automated image interpretation for real-time evaluation of esophageal squamous cell neoplasia

Timothy Quang et al.

GASTROINTESTINAL ENDOSCOPY (2016)

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Review Gastroenterology & Hepatology

Review of small-bowel cleansing scales in capsule endoscopy: A panoply of choices

Ana Ponte et al.

WORLD JOURNAL OF GASTROINTESTINAL ENDOSCOPY (2016)

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Article Gastroenterology & Hepatology

Quantitative Analysis of High-Resolution Microendoscopic Images for Diagnosis of Esophageal Squamous Cell Carcinoma

Dongsuk Shin et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2015)

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Article Gastroenterology & Hepatology

Resect and Discard Approach to Colon Polyps: Real-World Applicability Among Academic and Community Gastroenterologists

Hongha T. Vu et al.

DIGESTIVE DISEASES AND SCIENCES (2015)

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Article Medicine, General & Internal

Adenoma Detection Rate and Risk of Colorectal Cancer and Death

Douglas A. Corley et al.

NEW ENGLAND JOURNAL OF MEDICINE (2014)

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Article Gastroenterology & Hepatology

How commonly is upper gastrointestinal cancer missed at endoscopy? A meta-analysis

Shyam Menon et al.

ENDOSCOPY INTERNATIONAL OPEN (2014)

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Article Gastroenterology & Hepatology

Nurse Observation During Colonoscopy Increases Polyp Detection: A Randomized Prospective Study

Harry R. Aslanian et al.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2013)

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Article Gastroenterology & Hepatology

Screening for Gastric Cancer and Surveillance of Premalignant Lesions: a Systematic Review of Cost-Effectiveness Studies

Miguel Areia et al.

HELICOBACTER (2013)

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Article Multidisciplinary Sciences

A Cost-Effectiveness Analysis Evaluating Endoscopic Surveillance for Gastric Cancer for Populations with Low to Intermediate Risk

Hui Jun Zhou et al.

PLOS ONE (2013)

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Article Gastroenterology & Hepatology

Prevalence of advanced histological features in diminutive and small colon polyps

Neil Gupta et al.

GASTROINTESTINAL ENDOSCOPY (2012)

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Article Gastroenterology & Hepatology

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

Douglas K. Rex et al.

GASTROINTESTINAL ENDOSCOPY (2011)

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