Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol
Introduction Inflammatory bowel diseases (IBD) are immune-mediated conditions that are increasing in incidence and prevalence worldwide. Their assessment and monitoring are becoming increasingly important, though complex. The best disease control is achieved through tight monitoring of objective inf...
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BMJ Publishing Group
2023-12-01
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| Series: | BMJ Open Gastroenterology |
| Online Access: | https://bmjopengastro.bmj.com/content/10/1/e001182.full |
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| author | Mallory Chavannes Bram Verstockt Mariangela Allocca David T Rubin Kerri Novak Lynn Kysh Noa Krugliak Cleveland Michael Todd Dolinger Tom S Robbins Shintaro Sagami |
| author_facet | Mallory Chavannes Bram Verstockt Mariangela Allocca David T Rubin Kerri Novak Lynn Kysh Noa Krugliak Cleveland Michael Todd Dolinger Tom S Robbins Shintaro Sagami |
| author_sort | Mallory Chavannes |
| collection | DOAJ |
| description | Introduction Inflammatory bowel diseases (IBD) are immune-mediated conditions that are increasing in incidence and prevalence worldwide. Their assessment and monitoring are becoming increasingly important, though complex. The best disease control is achieved through tight monitoring of objective inflammatory parameters (such as serum and stool inflammatory markers), cross-sectional imaging and endoscopic assessment. Considering the complexity of the information obtained throughout a patient’s journey, artificial intelligence (AI) provides an ideal adjunct to existing tools to help diagnose, monitor and predict the course of disease of patients with IBD. Therefore, we propose a scoping review assessing AI’s role in diagnosis, monitoring and prognostication tools in patients with IBD. We aim to detect gaps in the literature and address them in future research endeavours.Methods and analysis We will search electronic databases, including Medline, Embase, Cochrane CENTRAL, CINAHL Complete, Web of Science and IEEE Xplore. Two reviewers will independently screen the abstracts and titles first and then perform the full-text review. A third reviewer will resolve any conflict. We will include both observational studies and clinical trials. Study characteristics will be extracted using a data extraction form. The extracted data will be summarised in a tabular format, following the imaging modality theme and the study outcome assessed. The results will have an accompanying narrative review.Ethics and dissemination Considering the nature of the project, ethical review by an institutional review board is not required. The data will be presented at academic conferences, and the final product will be published in a peer-reviewed journal. |
| format | Article |
| id | doaj-art-d5f309c116974899a71a02a8fc016e36 |
| institution | Kabale University |
| issn | 2054-4774 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open Gastroenterology |
| spelling | doaj-art-d5f309c116974899a71a02a8fc016e362025-02-07T12:55:10ZengBMJ Publishing GroupBMJ Open Gastroenterology2054-47742023-12-0110110.1136/bmjgast-2023-001182Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocolMallory Chavannes0Bram Verstockt1Mariangela Allocca2David T Rubin3Kerri Novak4Lynn Kysh5Noa Krugliak Cleveland6Michael Todd Dolinger7Tom S Robbins8Shintaro Sagami9Division of Gastroenterology, Hepatology and Nutrition, Children`s Hospital of Los Angeles, Los Angeles, California, USA2 University Hospitals Leuven, Department of Gastroenterology and Hepatology, KU Leuven, Leuven, BelgiumUniversita Vita Salute San Raffaele, Milano, Lombardia, ItalyInflammatory Bowel Disease Center, University of Chicago Medicine, Chicago, Illinois, USADivision of Gastroenterology and Hepatology, University of Calgary, Calgary, Alberta, Canada1 Innovation Studio, Children`s Hospital of Los Angeles, Los Angeles, California, USAInflammatory Bowel Disease Center, The University of Chicago Medicine, Chicago, Illinois, USADivision of Pediatric Gastroenterology, Susan and Leonard Feinstein Inflammatory Bowel Disease Clinical Center at Mount Sinai, New York, New York, USAMotilent Ltd, London, UKCenter for Advanced IBD Research and Treatment, Kitasato University Kitasato Institute Medical Center Hospital, Kitamoto, Saitama, JapanIntroduction Inflammatory bowel diseases (IBD) are immune-mediated conditions that are increasing in incidence and prevalence worldwide. Their assessment and monitoring are becoming increasingly important, though complex. The best disease control is achieved through tight monitoring of objective inflammatory parameters (such as serum and stool inflammatory markers), cross-sectional imaging and endoscopic assessment. Considering the complexity of the information obtained throughout a patient’s journey, artificial intelligence (AI) provides an ideal adjunct to existing tools to help diagnose, monitor and predict the course of disease of patients with IBD. Therefore, we propose a scoping review assessing AI’s role in diagnosis, monitoring and prognostication tools in patients with IBD. We aim to detect gaps in the literature and address them in future research endeavours.Methods and analysis We will search electronic databases, including Medline, Embase, Cochrane CENTRAL, CINAHL Complete, Web of Science and IEEE Xplore. Two reviewers will independently screen the abstracts and titles first and then perform the full-text review. A third reviewer will resolve any conflict. We will include both observational studies and clinical trials. Study characteristics will be extracted using a data extraction form. The extracted data will be summarised in a tabular format, following the imaging modality theme and the study outcome assessed. The results will have an accompanying narrative review.Ethics and dissemination Considering the nature of the project, ethical review by an institutional review board is not required. The data will be presented at academic conferences, and the final product will be published in a peer-reviewed journal.https://bmjopengastro.bmj.com/content/10/1/e001182.full |
| spellingShingle | Mallory Chavannes Bram Verstockt Mariangela Allocca David T Rubin Kerri Novak Lynn Kysh Noa Krugliak Cleveland Michael Todd Dolinger Tom S Robbins Shintaro Sagami Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol BMJ Open Gastroenterology |
| title | Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol |
| title_full | Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol |
| title_fullStr | Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol |
| title_full_unstemmed | Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol |
| title_short | Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol |
| title_sort | role of artificial intelligence in imaging and endoscopy for the diagnosis monitoring and prognostication of inflammatory bowel disease a scoping review protocol |
| url | https://bmjopengastro.bmj.com/content/10/1/e001182.full |
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