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NCT04678375
Artificial Intelligence for Detecting Retinal Diseases
trial testing Retinal diseases diagnosed by artificial intelligence algorithm in Artificial Intelligence in 1,000,000 participants. Completed in 1 October 2020.
30 June 2020
Quick facts
| Lead sponsor | Beijing Tongren Hospital |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 1,000,000 |
| Start date | 1 June 2018 |
| Primary completion | 30 June 2020 |
| Estimated completion | 1 October 2020 |
| Sites | 1 location across China |
Drugs / interventions tested
- Retinal diseases diagnosed by artificial intelligence algorithm
Conditions studied
- Artificial Intelligence — all drugs for Artificial Intelligence →
- Retinal Diseases — all drugs for Retinal Diseases →
Sponsor
Beijing Tongren Hospital
Who can join
Adults 18 to 80, any sex, with Artificial Intelligence or Retinal Diseases. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The objective of this study is to apply an artificial intelligence algorithm to diagnose multi retinal diseases from fundus photography. The effectiveness and accuracy of this algorithm was evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and area under curve.
Publications & conference data
2 peer-reviewed publications reference this trial (live from Europe PMC):
-
Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases.
Dong L, He W, Zhang R, Ge Z, et al · · 2022 · cited 92× · PMID 35503220 · DOI 10.1001/jamanetworkopen.2022.9960 -
Trends in the Prevalence of Common Retinal and Optic Nerve Diseases in China: An Artificial Intelligence Based National Screening.
Zhang R, Dong L, Fu X, Hua L, et al · · 2024 · cited 9× · PMID 38648051 · DOI 10.1167/tvst.13.4.28
Verify or expand the search:
- PubMed search for NCT04678375
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other Beijing Tongren Hospital trials
Trials by the same sponsor.
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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 NCT04678375 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Beijing Tongren Hospital
- Last refreshed: 15 April 2021
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/NCT04678375.
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