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NCT04087824
Deep Learning Algorithm for Recognition of Colonic Segments.
NA trial testing AI assisted recognition of colonic segments in Colonic Diseases in 60 participants. Status unknown.
15 November 2019
Quick facts
| Lead sponsor | Shandong University |
|---|---|
| Phase | NA |
| Status | Status unknown |
| Study type | INTERVENTIONAL |
| Allocation | na |
| Design | single group |
| Masking | none |
| Primary purpose | health services research |
| Enrollment | 60 |
| Start date | 15 September 2019 |
| Primary completion | 15 November 2019 |
| Estimated completion | 15 December 2019 |
Drugs / interventions tested
- AI assisted recognition of colonic segments
Conditions studied
- Colonic Diseases — all drugs for Colonic Diseases →
Sponsor
Shandong University
Who can join
Adults 18 to 70, any sex, with Colonic Diseases. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The purpose of this study is to develop and validate a deep learning algorithm to realize automatic recognition of colonic segments under conventional colonoscopy. Then, evaluate the accuracy this new artificial intelligence(AI) assisted recognition system in clinic practice.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT04087824
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04087824 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Shandong University
- Last refreshed: 12 September 2019
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04087824.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing