ArticleClinical endoscopy2020
The Future of Capsule Endoscopy: The Role of Artificial Intelligence and Other Technical Advancements.
Article in Clinical endoscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Artificial intelligence based on forensic medical databases: construction, application, and prospects.Forensic science, medicine, and pathology · 2026Review
- Magnetically guided gastric capsule endoscopy: a review and new developments.Clinical endoscopy · 2025Review
- Galar - a large multi-label video capsule endoscopy dataset.Scientific data · 2025Article
- Article
- Capsule endoscopy: Do we still need it after 24 years of clinical use?World journal of gastroenterology · 2025Article
- Dynamic responses of a vibro-impact capsule robot self-propelling in the large intestine via multibody dynamics.Multibody system dynamics · 2025Article
- AI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach.Diagnostics (Basel, Switzerland) · 2023Article
- Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Implications for Clinical Trials.Journal of Crohn's & colitis · 2023Review
- Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy.Frontiers in medicine · 2022Article
- Key research questions for implementation of artificial intelligence in capsule endoscopy.Therapeutic advances in gastroenterology · 2022Article
- The optimal use of colon capsule endoscopes in clinical practice.Therapeutic advances in chronic disease · 2022Review
- Artificial intelligence in gastroenterology: A state-of-the-art review.World journal of gastroenterology · 2021Review
- Follow-up outcomes in patients with negative initial colon capsule endoscopy findings.World journal of gastrointestinal endoscopy · 2021Article
- Capsule Endoscopy: Pitfalls and Approaches to Overcome.Diagnostics (Basel, Switzerland) · 2021Review
- Role of Artificial Intelligence in Video Capsule Endoscopy.Diagnostics (Basel, Switzerland) · 2021Review
- Kvasir-Capsule, a video capsule endoscopy dataset.Scientific data · 2021Article
- Colon Capsule Endoscopy: An Alternative for Conventional Colonoscopy?Clinical endoscopy · 2021Article
- How should we do colon capsule endoscopy reading: a practical guide.Therapeutic advances in gastrointestinal endoscopyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Capsule endoscopy has revolutionized the management of small-bowel diseases owing to its convenience and noninvasiveness. Capsule endoscopy is a common method for the evaluation of obscure gastrointestinal bleeding, Crohn's disease, small-bowel tumors, and polyposis syndrome. However, the laborious reading process, oversight of small-bowel lesions, and lack of locomotion are major obstacles to expanding its application. Along with recent advances in artificial intelligence, several studies have reported the promising performance of convolutional neural network systems for the diagnosis of various small-bowel lesions including erosion/ulcers, angioectasias, polyps, and bleeding lesions, which have reduced the time needed for capsule endoscopy interpretation. Furthermore, colon capsule endoscopy and capsule endoscopy locomotion driven by magnetic force have been investigated for clinical application, and various capsule endoscopy prototypes for active locomotion, biopsy, or therapeutic approaches have been introduced. In this review, we will discuss the recent advancements in artificial intelligence in the field of capsule endoscopy, as well as studies on other technological improvements in capsule endoscopy.
Indexed as
Identifiers
What OpenQuestion holds
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.