Identifying diabetic eye diseases using automated detection algorithm assisting physicians in tele-ophthalmology setting

ARDA (Automated Detection Algorithm) assisted read study protocol - Vision Center related study - VC-ARDA study

Status

Active, not recruiting

Phases

Phase 4

Study type

Observational

Source

CTRI

Registry ID

CTRI/2018/05/013726

Enrollment

1000

Registered

2018-05-07

Start date

Unknown

Completion date

Unknown

Last updated

2021-11-24

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

Conditions

Health Condition 1: H350- Background retinopathy and retinalvascular changes

Interventions

None listed

Eligibility

Inclusion criteria

Inclusion criteria: Recruitment of patients from the Vision Centers which use Tele-ophthalmologists for grading the fundus photo images. An eligible patient must have a diagnosis of diabetes mellitus.

Exclusion criteria

Exclusion criteria: Non-diabetic patients

Design outcomes

Primary

Measure	Time frame
This programme could be used to screen for diabetic eye disease in peripheral centresTimepoint: 4-6 months	—

Secondary

Measure	Time frame
The sensitivity and specificity of the software in detecting severe or worse diabetic retinopathy and referrable diabetic macular edema as compared to trained human graders (4-6 months)Timepoint: 4-6 months	—

Countries

India

Contacts

Public ContactDr Varun Gulshan

Google Inc.

varungulshan@google.com919818043473

Outcome results