ClinicalTrials.gov
public full text
Public Domain
Computerized Feedback in Colonoscopy
In a cluster-randomized study compare if feedback from two computerized feedback systems doing a colonoscopy (CoPS and CoRS) can improve the adenoma detection rate and decrease patient discomfort.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Computer-Assisted Colonoscopy in High-Adenoma Detection Rate Settings in a High-Risk Population: A Randomized Clinical Trial.#25692
- The Effectiveness of Bowel Preparation in Colonoscopy Patients Using Artificial Intelligence-assisted Nursing Education#895746
- Impact of Computer-aided Detection System on the Proximal Adenoma Miss Rate#811337
- Feedback Given by an Automatic and Objective System in Simulated Colonoscopy Increase Learning and Time Spent Practicing#886886
- A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures#892566
Record · ID 813155
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive