ReviewGastroenterology report2015
Computer vision and augmented reality in gastrointestinal endoscopy.
Review in Gastroenterology report, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Augmented reality for orthopedic and maxillofacial oncological surgery: a systematic review focusing on both clinical and technical aspects.Frontiers in bioengineering and biotechnology · 2023Pooled it
- Augmented Reality in Medicine: Systematic and Bibliographic Review.JMIR mHealth and uHealth · 2019Pooled it
- Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021Trial
- Trial
- C3VDv2 - Colonoscopy 3D video dataset with enhanced realism.Scientific data · 2026Article
- Advanced computer-aided detection system exhibits no more false positives than experienced endoscopists in an image-based comparative study of colon polyps.Frontiers in medicine · 2026Article
- Multidimensional decision support by artificial intelligence across the full workflow of endoscopic submucosal dissection for early gastric cancer.Frontiers in oncology · 2026Review
- Unmasking mast cell infiltrates: augmented reality and AI in GI endoscopy for systemic mastocytosis.Annals of medicine and surgery (2012) · 2025Article
- Evaluation of Artificial Intelligence: Computer-aided Detection of Colorectal Polyps.Journal of the anus, rectum and colon · 2025Article
- A semantic feature enhanced YOLOv5-based network for polyp detection from colonoscopy images.Scientific reports · 2024Article
- Spatio-Temporal Feature Transformation Based Polyp Recognition for Automatic Detection: Higher Accuracy than Novice Endoscopists in Colorectal Polyp Detection and Diagnosis.Digestive diseases and sciences · 2024Article
- Is Augmented Reality Technology Effective in Locating the Apex of Teeth Undergoing Apicoectomy Procedures?Journal of personalized medicine · 2024Article
- Third Eye? The Assistance of Artificial Intelligence (AI) in the Endoscopy of Gastrointestinal Neoplasms.Journal of clinical medicine · 2023Review
- Augmented Reality in Real-time Telemedicine and Telementoring: Scoping Review.JMIR mHealth and uHealth · 2023Article
- The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy.Diagnostics (Basel, Switzerland) · 2023Article
- Assessment of the Role of Artificial Intelligence in the Association Between Time of Day and Colonoscopy Quality.JAMA network open · 2023Article
- Application and challenges of a metaverse in medicine.Frontiers in robotics and AI · 2023Review
- Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial.Gastroenterology report · 2023Article
- The role of artificial intelligence based systems for cost optimization in colorectal cancer prevention programs.Frontiers in artificial intelligence · 2022Review
- Polyp Detection from Colorectum Images by Using Attentive YOLOv5.Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Augmented reality (AR) is an environment-enhancing technology, widely applied in the computer sciences, which has only recently begun to permeate the medical field. Gastrointestinal endoscopy-which relies on the integration of high-definition video data with pathologic correlates-requires endoscopists to assimilate and process a tremendous amount of data in real time. We believe that AR is well positioned to provide computer-guided assistance with a wide variety of endoscopic applications, beginning with polyp detection. In this article, we review the principles of AR, describe its potential integration into an endoscopy set-up, and envisage a series of novel uses. With close collaboration between physicians and computer scientists, AR promises to contribute significant improvements to the field of endoscopy.
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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.