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NCT04275609
The Efficiency of Writing Endoscopic Reports by Artificial Intelligence and Physicians: a Randomized Controlled Trial
NA trial testing AI generated report in Gastrointestinal Disease in 80 participants. Status unknown.
20 March 2020
Quick facts
| Lead sponsor | Shandong University |
|---|---|
| Phase | NA |
| Status | Status unknown |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | diagnostic |
| Enrollment | 80 |
| Start date | 20 February 2020 |
| Primary completion | 20 March 2020 |
| Estimated completion | 30 March 2020 |
Drugs / interventions tested
- AI generated report
- physicians writing report
Conditions studied
- Gastrointestinal Disease — all drugs for Gastrointestinal Disease →
Sponsor
Shandong University
Who can join
Adults 18 to 80, any sex, with Gastrointestinal Disease. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The purpose of this study is to compare the efficiency of writing endoscopic reports by artificial intelligence and physicians through a randomized controlled trial.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT04275609
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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 NCT04275609 (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: 19 February 2020
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/NCT04275609.
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