ReviewDiagnostics (Basel, Switzerland)2021
Role of Artificial Intelligence in Video Capsule Endoscopy.
Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Review
- Deep learning meets small-bowel capsule endoscopy: A step toward faster and more consistent diagnosis of obscure gastrointestinal bleeding.World journal of gastrointestinal endoscopy · 2025Article
- Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding.World journal of gastroenterology · 2025Article
- Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution.Singapore medical journal · 2024Article
- The Role of Capsule Endoscopy in the Diagnosis and Management of Small Bowel Tumors: A Narrative Review.Cancers · 2024Review
- Artificial Intelligence-Based Classification of Anatomical Sites in Esophagogastroduodenoscopy Images.International journal of general medicine · 2024Article
- Is Panenteric PillcamDiagnostics (Basel, Switzerland) · 2023Review
- Review
- New Generation Express View: An Artificial Intelligence Software Effectively Reduces Capsule Endoscopy Reading Times.Diagnostics (Basel, Switzerland) · 2022Article
- Artificial Endoscopy and Inflammatory Bowel Disease: Welcome to the Future.Journal of clinical medicine · 2022Review
- Review: Colon Capsule Endoscopy in Inflammatory Bowel Disease.Diagnostics (Basel, Switzerland) · 2022Review
- Key research questions for implementation of artificial intelligence in capsule endoscopy.Therapeutic advances in gastroenterology · 2022Article
- Diagnostic Yields and Clinical Impacts of Capsule Endoscopy.Diagnostics (Basel, Switzerland) · 2021Review
- [Current Concepts and Approach to Mid-Gastrointestinal Bleeding].Acta gastroenterologica LatinoamericanaReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Capsule endoscopy (CE) has been increasingly utilised in recent years as a minimally invasive tool to investigate the whole gastrointestinal (GI) tract and a range of capsules are currently available for evaluation of upper GI, small bowel, and lower GI pathology. Although CE is undoubtedly an invaluable test for the investigation of small bowel pathology, it presents considerable challenges and limitations, such as long and laborious reading times, risk of missing lesions, lack of bowel cleansing score and lack of locomotion. Artificial intelligence (AI) seems to be a promising tool that may help improve the performance metrics of CE, and consequently translate to better patient care. In the last decade, significant progress has been made to apply AI in the field of endoscopy, including CE. Although it is certain that AI will find soon its place in day-to-day endoscopy clinical practice, there are still some open questions and barriers limiting its widespread application. In this review, we provide some general information about AI, and outline recent advances in AI and CE, issues around implementation of AI in medical practice and potential future applications of AI-aided CE.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.