WHO ICTRP trial
Identifying Orbital Diseases Using Deep Learning Based on Multimodal Data: A…
ChiCTR2400081033 · Chinese Clinical Trial Registry (ChiCTR) · Not Recruiting
Key facts
| Trial ID | ChiCTR2400081033 |
|---|---|
| Public title | Identifying Orbital Diseases Using Deep Learning Based on Multimodal Data: A Multicenter, Retrospective Clinical Study |
| Scientific title | Identifying Orbital Diseases Using Deep Learning Based on Multimodal Data: A Multicenter, Retrospective Clinical Study |
| Primary sponsor | Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine |
| Registry | Chinese Clinical Trial Registry (ChiCTR) |
| Recruitment status | Not Recruiting |
| Study type | Observational study |
| Phase | Retrospective study |
| Countries | China |
| Conditions | Orbital disease |
| Interventions | Orbital disease patients:Facial images, demographic information, diagnostic information, imaging information;Healthy people:Facial images, demographic information, diagnostic information, imaging information |
| Registration date | Feb 20, 2024 |
| Target size | Orbital disease patients:1000;Healthy people:1000 |
| Registry page | chictr.org.cn |
At a glance
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About WHO ICTRP trial registrations
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Source: World Health Organization (WHO), International Clinical Trials Registry Platform (ICTRP) · Source date: