☆ 4.4 Review

Evaluating the potential of artificial intelligence in ulcerative colitis

EXPERT REVIEW OF GASTROENTEROLOGY & HEPATOLOGY (2023)

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Article Gastroenterology & Hepatology

Evaluation in real-time use of artificial intelligence during colonoscopy to predict relapse of ulcerative colitis: a prospective study

Yasuharu Maeda et al.

Summary: This study evaluated the use of real-time artificial intelligence during colonoscopy to predict the risk of clinical relapse in patients with ulcerative colitis (UC) in clinical remission. The results showed that real-time AI can help clinicians make treatment interventions decisions.

GASTROINTESTINAL ENDOSCOPY (2022)

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Article Gastroenterology & Hepatology

PICaSSO Histologic Remission Index (PHRI) in ulcerative colitis: development of a novel simplified histological score for monitoring mucosal healing and predicting clinical outcomes and its applicability in an artificial intelligence system

Xianyong Gui et al.

Summary: Histological remission is emerging as a key treatment target in UC, and the development of a simple histological index PHRI showed high correlation with endoscopic activity and clinical outcomes. A deep learning AI system based on PHRI accurately predicted histological remission and differentiated active from quiescent UC, with promising sensitivity, specificity, and accuracy results.

GUT (2022)

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Article Pharmacology & Pharmacy

Using supervised machine learning approach to predict treatment outcomes of vedolizumab in ulcerative colitis patients

Jingjing Chen et al.

Summary: With recent advances in machine learning, supervised machine learning was used to optimize the prediction of treatment outcomes of vedolizumab in patients with moderate-to-severe ulcerative colitis. The results showed that easily obtained baseline and medical history variables may predict therapeutic response, indicating the potential for individualized prescription.

JOURNAL OF BIOPHARMACEUTICAL STATISTICS (2022)

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Article Gastroenterology & Hepatology

Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis

Niels Vande Casteele et al.

Summary: A deep learning algorithm was developed to quantify eosinophils in colonic biopsies. The study found that eosinophil density was not correlated with histologic activity, but was correlated with disease extent and corticosteroid use.

INFLAMMATORY BOWEL DISEASES (2022)

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Article Gastroenterology & Hepatology

Artificial Intelligence Program to Predict p53 Mutations in Ulcerative Colitis-Associated Cancer or Dysplasia

Tatsuki Noguchi et al.

Summary: We have developed a diagnostic tool using artificial intelligence that accurately predicts the pathology of ulcerative colitis-associated neoplasia, providing a cost-effective and time-saving alternative to conventional methods.

INFLAMMATORY BOWEL DISEASES (2022)

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Article Gastroenterology & Hepatology

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

Helmut Messmann et al.

Summary: The ESGE defines the expected value of AI for the diagnosis and management of gastrointestinal neoplasia and sets recommendations for its acceptance in different aspects of endoscopy.

ENDOSCOPY (2022)

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Review Gastroenterology & Hepatology

Advanced technology for assessment of endoscopic and histological activity in ulcerative colitis: a systematic review and meta-analysis

Olga Maria Nardone et al.

Summary: Advanced endoscopic technologies play an important role in the diagnosis and treatment of ulcerative colitis. This study systematically reviewed and analyzed the correlations between different endoscope technologies and endoscopic and histological activity scores. The findings indicate that endoscopic activity scores are strongly correlated with histological activity regardless of the endoscopic technology used. Virtual chromoendoscopy appears to be more accurate in predicting histological remission compared to standard-definition white light.

THERAPEUTIC ADVANCES IN GASTROENTEROLOGY (2022)

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Editorial Material Gastroenterology & Hepatology

Can artificial intelligence help to detect dysplasia in patients with ulcerative colitis?

Yasuharu Maeda et al.

ENDOSCOPY (2021)

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Article Gastroenterology & Hepatology

Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks

Klaus Gottlieb et al.

Summary: A deep learning algorithm was successfully trained to predict levels of UC severity from full-length endoscopy videos, with excellent agreement metrics compared to human central readers. Prospective data collection from a multinational clinical trial, use of videos instead of still images, and reporting of UCEIS and eMS all contributed to the success of the machine learning algorithm in predicting UC severity.

GASTROENTEROLOGY (2021)

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Article Gastroenterology & Hepatology

Fully automated endoscopic disease activity assessment in ulcerative colitis

Heming Yao et al.

Summary: This study aimed to pilot a fully automated video analysis system for grading endoscopic disease in ulcerative colitis (UC). The results showed promising performance in predicting disease severity in high-resolution videos and clinical trial videos, supporting the potential for artificial intelligence to provide accurate endoscopic disease grading in UC.

GASTROINTESTINAL ENDOSCOPY (2021)

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Article Gastroenterology & Hepatology

Pitfalls in training and validation of deep learning systems

Tom Eelbode et al.

Summary: The number of publications on deep learning applications in endoscopic journals has increased significantly in recent years, showing great promise. However, the interdisciplinary nature of these works has made it more difficult to evaluate their value and applicability. This review discusses common pitfalls and misconducts in training and validating deep learning systems, and proposes guidelines to ensure unbiased systems for routine clinical practice.

BEST PRACTICE & RESEARCH CLINICAL GASTROENTEROLOGY (2021)

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Editorial Material Gastroenterology & Hepatology

Deep Neural Network Accurately Predicts Prognosis of Ulcerative Colitis Using Endoscopic Images

Kento Takenaka et al.

GASTROENTEROLOGY (2021)

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Article Gastroenterology & Hepatology

Endoscopic tissue sampling - Part 2: Lower gastrointestinal tract. European Society of Gastrointestinal Endoscopy (ESGE) Guideline

Roos E. Pouw et al.

ENDOSCOPY (2021)

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Article Medicine, Research & Experimental

Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines

Hussein Ibrahim et al.

Summary: The emergence of randomised clinical trials evaluating AI interventions in real-world settings highlights the need for new reporting guidelines such as SPIRIT-AI and CONSORT-AI to ensure complete and transparent reporting. These guidelines aim to improve the quality of clinical trials involving AI systems and promote the identification of the safest and most effective interventions for the benefit of patients and the public.

TRIALS (2021)

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Article Gastroenterology & Hepatology

An International Multicenter Real-Life Prospective Study of Electronic Chromoendoscopy Score PICaSSO in Ulcerative Colitis

Marietta Iacucci et al.

Summary: In this study, the PICaSSO score showed strong correlation with multiple histological indices and was predictive of clinical outcomes at 6 and 12 months, similar to histology. Therefore, PICaSSO could be a valuable endoscopic tool in the management of UC.

GASTROENTEROLOGY (2021)

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Article Gastroenterology & Hepatology

STRIDE-II: An Update on the Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE) Initiative of the International Organization for the Study of IBD (IOIBD): Determining Therapeutic Goals for Treat-to-Target strategies in IBD

Dan Turner et al.

Summary: STRIDE-II presents treatment targets for both adult and pediatric IBD, including long-term and short-term goals. These targets cover aspects such as clinical response, endoscopic healing, quality of life, and growth, providing guidance for improving patient outcomes.

GASTROENTEROLOGY (2021)

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Review Gastroenterology & Hepatology

Breaking the therapeutic ceiling in drug development in ulcerative colitis

Dahham Alsoud et al.

Summary: This article discusses the limitations of therapeutic efficacy in ulcerative colitis treatment, the shortcomings of current strategies, and proposes solutions for improving therapeutic outcomes.

LANCET GASTROENTEROLOGY & HEPATOLOGY (2021)

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Article Medicine, General & Internal

Computed tomography enterocolongraphy in assessment of degree of ulcerative colitis activity

Ezzat Ali Ahmed et al.

Summary: In this study, CTE was found to be a valuable tool in assessing disease activity in UC, with significant correlation to histopathological findings. Bowel wall thickening and hyper enhancement on CTE were particularly indicative of active disease.

INTERNATIONAL JOURNAL OF CLINICAL PRACTICE (2021)

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Article Gastroenterology & Hepatology

Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases

Iolanda Valentina Popa et al.

Summary: This study successfully developed a non-invasive prediction system for histologic activity in IBD using neural network models, achieving accuracies higher than the current fecal calprotectin biomarker. The system shows potential for future non-invasive disease activity prediction in clinical settings.

TURKISH JOURNAL OF GASTROENTEROLOGY (2021)

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Article Gastroenterology & Hepatology

Complete histologic normalisation is associated with reduced risk of relapse among patients with ulcerative colitis in complete endoscopic remission

Kelly C. Cushing et al.

ALIMENTARY PHARMACOLOGY & THERAPEUTICS (2020)

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Article Gastroenterology & Hepatology

Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis

Kento Takenaka et al.

GASTROENTEROLOGY (2020)

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Article Gastroenterology & Hepatology

Automatic, computer-aided determination of endoscopic and histological inflammation in patients with mild to moderate ulcerative colitis based on red density

Peter Bossuyt et al.

GUT (2020)

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Article Gastroenterology & Hepatology

Big data in IBD: big progress for clinical practice

Nasim Sadat Seyed Tabib et al.

GUT (2020)

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Article Medicine, General & Internal

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

Xiaoxuan Liu et al.

BMJ-BRITISH MEDICAL JOURNAL (2020)

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Review Gastroenterology & Hepatology

Outcomes and Strategies to Support a Treat-to-target Approach in Inflammatory Bowel Disease: A Systematic Review

Jean-Frederic Colombel et al.

JOURNAL OF CROHNS & COLITIS (2020)

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Article Gastroenterology & Hepatology

Colonic MicroRNA Profiles, Identified by a Deep Learning Algorithm, That Predict Responses to Therapy of Patients With Acute Severe Ulcerative Colitis

Ian Morilla et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2019)

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Article Gastroenterology & Hepatology

ECCO-ESGAR Guideline for Diagnostic Assessment in IBD Part 1: Initial diagnosis, monitoring of known IBD, detection of complications

Christian Maaser et al.

JOURNAL OF CROHNS & COLITIS (2019)

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Article Gastroenterology & Hepatology

Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis

Yasuharu Maeda et al.

GASTROINTESTINAL ENDOSCOPY (2019)

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Article Gastroenterology & Hepatology

Novel computer-assisted diagnosis system for endoscopic disease activity in patients with ulcerative colitis

Tsuyoshi Ozawa et al.

GASTROINTESTINAL ENDOSCOPY (2019)

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Article Gastroenterology & Hepatology

Chromoendoscopy versus narrow band imaging in UC: a prospective randomised controlled trial

Raf Bisschops et al.

GUT (2018)

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Article Gastroenterology & Hepatology

Predicting Corticosteroid-Free Biologic Remission with Vedolizumab in Crohn's Disease

Akbar K. Waljee et al.

INFLAMMATORY BOWEL DISEASES (2018)

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Article Gastroenterology & Hepatology

The Association Between Arthralgia and Vedolizumab Using Natural Language Processing

Tianrun Cai et al.

INFLAMMATORY BOWEL DISEASES (2018)

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Article Gastroenterology & Hepatology

Prognostic value of histological activity in patients with ulcerative colitis in deep remission: A prospective multicenter study

Triana Lobaton et al.

UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2018)

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Article Gastroenterology & Hepatology

Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines

Akbar K. Waljee et al.

JOURNAL OF CROHNS & COLITIS (2017)

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Article Gastroenterology & Hepatology

Defining endoscopic response and remission in ulcerative colitis clinical trials: an international consensus

L. Vuitton et al.

ALIMENTARY PHARMACOLOGY & THERAPEUTICS (2017)

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Review Gastroenterology & Hepatology

Histological Disease Activity as a Predictor of Clinical Relapse Among Patients With Ulcerative Colitis: Systematic Review and Meta-Analysis

Sunhee Park et al.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2016)

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Article Gastroenterology & Hepatology

The Modified Mayo Endoscopic Score (MMES): A New Index for the Assessment of Extension and Severity of Endoscopic Activity in Ulcerative Colitis Patients

Triana Lobaton et al.

JOURNAL OF CROHNS & COLITIS (2015)

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Article Gastroenterology & Hepatology

Improving Case Definition of Crohn's Disease and Ulcerative Colitis in Electronic Medical Records Using Natural Language Processing: A Novel Informatics Approach

Ashwin N. Ananthakrishnan et al.

INFLAMMATORY BOWEL DISEASES (2013)

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Article Gastroenterology & Hepatology

Developing an instrument to assess the endoscopic severity of ulcerative colitis: the Ulcerative Colitis Endoscopic Index of Severity (UCEIS)

Simon P. L. Travis et al.

GUT (2012)

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Article Gastroenterology & Hepatology

Algorithms Outperform Metabolite Tests in Predicting Response of Patients With Inflammatory Bowel Disease to Thiopurines

Akbar K. Waljee et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2010)

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Article Gastroenterology & Hepatology

Comparison of Several Activity Indices for the Evaluation of Endoscopic Activity in UC: Inter- and Intraobserver Consistency

Toro Osada et al.

INFLAMMATORY BOWEL DISEASES (2010)

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