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NCT04138771
Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients
NA trial testing An artificial intelligence system for postoperative management of cataract patients in Cataract in 300 participants. Status unknown.
1 March 2020
Quick facts
| Lead sponsor | Sun Yat-sen University |
|---|---|
| Phase | NA |
| Status | Status unknown |
| Study type | INTERVENTIONAL |
| Allocation | na |
| Design | single group |
| Masking | none |
| Primary purpose | diagnostic |
| Enrollment | 300 |
| Start date | 1 January 2013 |
| Primary completion | 1 March 2020 |
| Estimated completion | 1 March 2020 |
| Sites | 1 location across China |
Drugs / interventions tested
- An artificial intelligence system for postoperative management of cataract patients
Conditions studied
- Cataract — all drugs for Cataract →
- Postoperative Complications — all drugs for Postoperative Complications →
- Artificial Intelligence — all drugs for Artificial Intelligence →
Sponsor
Sun Yat-sen University
Who can join
Eligibility, any sex, with Cataract or Postoperative Complications. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Cataract surgery is the current standard of management for cataract patients, which is typically succeeded by a postoperative follow-up schedule. Here, the investigators established and validated an artificial intelligence system to achieve automatic management of postoperative patients based on analyses of visual acuity, intraocular pressure and slit-lamp images. The management strategy can also change according to postoperative time.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
Surgical data science - from concepts toward clinical translation.
Maier-Hein L, Eisenmann M, Sarikaya D, März K, et al · · 2022 · cited 158× · PMID 34879287 · DOI 10.1016/j.media.2021.102306
Verify or expand the search:
- PubMed search for NCT04138771
- 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 NCT04138771 (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 Sun Yat-sen University
- Last refreshed: 3 December 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/NCT04138771.
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