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Testing a new smartphone App for detecting Dry Eye Disease intelligence tool

Smartphone-based dry eye disease detection: Development and validation of an artificial intelligence tool - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/01/101890
Enrollment
1845
Registered
2026-01-23
Start date
Unknown
Completion date
Unknown
Last updated
2026-02-02

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

Conditions

Health Condition 1: H049- Disorder of lacrimal system, unspecified

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Sponsors

Dharsan S
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Individuals with dry eye disease

Exclusion criteria

Exclusion criteria: Participants who had a history of LASIK, ocular surgery, corneal disorders or other ocular infections will be excluded.

Design outcomes

Primary

MeasureTime frame
A smartphone-based self-screening AI application for dry eye detectionTimepoint: At baseline—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactDr Sujatha P Prabhu

Department of Basic Medical Sciences, manipal Academy of Higher Education

sujatha.prabhu@manipal.edu7892198255

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 7, 2026