ReviewCancers2021
Training Simulators for Gastrointestinal Endoscopy: Current and Future Perspectives.
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06279546 (Comparative Evaluation of Artificial Intelligence and Endoscopists´ Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures), which is not on this map. Cited by 34 papers, 1 of them a synthesis 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.
Comparative Evaluation of Artificial Intelligence and Endoscopists´ Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures: A Multi-institutional, Cross-sectional Study
Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.
- Potential of ciprofol as an alternative to propofol in elderly patients undergoing gastrointestinal endoscopy: a meta-analysis and trial sequential analysis.Frontiers in pharmacology · 2025Pooled it
- Evaluating the effect of an artificial intelligence system on the anesthesia quality control during gastrointestinal endoscopy with sedation: a randomized controlled trial.BMC anesthesiology · 2022Trial
- Gastric ultrasound assessment of gastric volume and related factors in patients undergoing gastrointestinal endoscopy under sedation.Journal of anesthesia · 2026Article
- Cadaver-based therapeutic endoscopic training for peroral endoscopic myotomy: a realistic model for skill acquisition.Anatomical science international · 2026Article
- User, expert, and construct validation of a new colonoscopy simulator: correlation with National Endoscopy Database key performance indicators.iGIE : innovation, investigation and insights · 2026Article
- Feasibility, usability, and validity assessment of a novel plug-and-play virtual endoscopy simulator.Surgical endoscopy · 2026Article
- Clinically validated dataset of 435 human colons segmented from CT colonography.Scientific data · 2026Article
- A Conceptual Framework for 4D Holographic Visualization in Gastrointestinal Endoscopy: Toward Externalized Spatiotemporal Cognition.JMIR XR and spatial computing · 2026Article
- Implementation of AI in oncology: a systematic review of educational and clinical integration in global contexts.Frontiers in digital health · 2026Review
- Digital platforms, virtual reality, and augmented reality in gastrointestinal endoscopy training.Clinical endoscopy · 2025Review
- Endoscopic ultrasound training: Current state, challenges, and the path to proficiency.World journal of gastrointestinal endoscopy · 2025Review
- Orthodontic rubber band combined with magnetic ring as a traction device for improving endoscopic submucosal dissection training.BMC medical education · 2025Article
- Expert-AI Collaborative Training for Novice Endoscopists: A Path to Enhanced Efficiency.Bioengineering (Basel, Switzerland) · 2025Article
- A multi-modal training environment for colonoscopy with pressure feedback.Surgical endoscopy · 2025Article
- Meaningful progress towards a high-fidelity endoscopic submucosal dissection training simulator model.Clinical endoscopy · 2025Article
- Artificial intelligence, extended reality, and emerging AI-XR integrations in medical education.Frontiers in digital health · 2025Review
- Development of colonic stent simulator using three-dimensional printing technique: a simulator development study in Korea.Clinical endoscopy · 2024Article
- Development of a laparoscopic sigmoidectomy simulator: Sigmaster.Surgery today · 2024Article
- Validation and efficacy of the Varix Trainer model as a Training device for esophagogastroduodenoscopy.Endoscopy international open · 2024Article
- Canine Upper Digestive Tract 3D Model: Assessing Its Utility for Anatomy and Upper Endoscopy Learning.Animals : an open access journal from MDPI · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
Abstract
Gastrointestinal (GI) endoscopy is the gold standard in the detection and treatment of early and advanced GI cancers. However, conventional endoscopic techniques are technically demanding and require visual-spatial skills and significant hands-on experience. GI endoscopy simulators represent a valid solution to allow doctors to practice in a pre-clinical scenario. From the first endoscopy mannequin, developed in 1969, several simulation platforms have been developed, ranging from purely mechanical systems to more complex mechatronic devices and animal-based models. Considering the recent advancement of technologies (e.g., artificial intelligence, augmented reality, robotics), simulation platforms can now reach high levels of realism, representing a valid and smart alternative to standard trainee/mentor learning programs. This is particularly true nowadays, when the current demographic trend and the most recent pandemic demand, more than ever, the ability to cope with many patients. This review offers a broad view of the technology available for GI endoscopy training, including platforms currently in the market and the relevant advancements in this research and application field. Additionally, new training needs and new emerging technologies are discussed to understand where medical education is heading.
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.