Assessment of the EyeVdoc App

To assess the precision of a machine learning tool, to diagnose a range of common external eye conditions

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ISRCTN

Registry ID

ISRCTN58473467

Enrollment

170

Registered

2023-08-31

Start date

2023-10-01

Completion date

Unknown

Last updated

2023-09-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ptosis, Dermatochalasis, Blepharochalasis, Allergic conjunctivitis, Bacterial conjunctivitis, Dry eye, Anterior uveitis, External hordeolum, Internal hordeolum, Entropion, Ectropion, Blepharitis, Pterygium, Pingquela, Anisocoria, Sub conjunctival haemorrhage, Episcleritis Eye Diseases

Interventions

There are two arms to this study, for data collection. Retrospective analysis of external eye images From an existing clinical service (Leicestershire, COVID urgent eye service) using images which we

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Age: 18 yrs and over 2. Ability to consent 3. Being diagnosed with one of the below external eye conditions 3.1. Ptosis 3.2. Dermatochalasis 3.3. Blepharochalasis 3.4. Allergic conjunctivitis 3.5. Bacterial conjunctivitis 3.6. Dry eye 3.7. Anterior uveitis 3.8. External hordeolum 3.9. Internal hordeolum 3.10. Entropion 3.11. Ectropion 3.12. Blepharitis 3.13. Pterygium 3.14. Pingquela 3.15. Anisocoria 3.16. Sub conjunctival haemorrhage 3.17. Episcleritis

Exclusion criteria

Exclusion criteria: No smartphone

Design outcomes

Primary

Measure	Time frame
Precision of the EyeVdoc app measured using the EyeVdoc app diagnosis compared to a clinical diagnosis at a single time point.	—

Secondary

Measure	Time frame
There are no secondary outcome measures	—

Countries

England, United Kingdom

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026