ClinicalTrials.gov
public full text
Public Domain
Artificial Intelligence-assisted Colonoscopy for Detection of Colon Polyps
All subjects shall sign informed consent before screening, and subjects shall be included according to inclusion and exclusion criteria. A total of four endoscopists were included in the study, two in each group of senior endoscopists and two in each group of junior endoscopists. Patients were randomly enrolled into the senior endoscopy group and the junior endoscopy group, and received artificial intelligence assisted colonoscopy and conventional colonoscopy successively. The two colonoscopy methods were performed back to back by different endoscopy physicians with the same seniority. All patients were examined and treated according to routine medical procedures. The routine colonoscopy group and the artificial-intelligence-assisted colonoscopy group made detailed records of the patients' withdrawal time, entry time, number of polyps detected, polyp Paris classification, polyp size, polyp shape, polyp location and intestinal preparation during the colonoscopy process
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
- Endoscopists' attitudes toward and experiences with artificial intelligence-assisted colonoscopy: a 3-year follow-up survey after the implementation of GI Genius.#645283
- Clinical Validity Verification on Diagnostic Assistance for Presence and Severity of Colorectal Cancer and Polyps Using Artificial Intelligence-based Medical Device Software Endoscopic Imaging Assistance#1184913
- Gastrointestinal Endoscopy Artificial Intelligence Cloud Platform in Gastrointestinal Endoscopy Screening#968920
- Performance of Artificial Intelligence in Colonoscopy for Right Colon Polyp Detection#1292444
- For Easy, Fast and Comfortable Colonoscopy, Which Position#884372
Record · ID 1261646
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