Development of a Mobile Terminal-Based Intelligent Detection System for Multiple Anterior Segment Diseases of the Eye
Sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University
Trial Details
| Condition | Artifical Intelligence, Cataract, Pterygium, Keratopathy, Subconjunctival Hemorrhage, Conjunctivitis, Stye, Blepharitis, Entropion, Ectropion, Exophthalmos, Irregular Pupils, Conjunctival Concretions, Hyphema, Hypopyon, Corneal Transplant Status |
| Intervention | Smartphone-based on-device artificial intelligence system for anterior segment eye disease screening |
| Status | Recruiting |
| Participants | 3,000 |
| Est. Completion | 1 May 2028 |
| Last Updated | 9 June 2026 |
Primary Outcome
Case-level diagnostic accuracy of the AI system compared with board-certified ophthalmologists; Diagnostic accuracy of the AI system when operated by non-medical users; Sensitivity of the on-device AI system in population-level community screening; Incremental cost-effectiveness ratio of on-device versus cloud-based screening; Per-inference electricity consumption of on-device versus cloud-based deployment
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Adults aged 18 years or older; * Willing to participate and able to provide written informed consent prior to enrollment. Exclusion Criteria: * Unable to cooperate with anterior segment image capture (including smartphone-based photography or slit-lamp biomicroscopy).
Trial Sites
Countries
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