Actively Recruiting

Age: 35Years +
All Genders
Healthy Volunteers
ID07135570

Stop Blindness in Coastal Bangladesh: Testing the Effectiveness of Community-Based, Artificial Intelligence-Assisted Eye Disease Screening in Coastal Bangladesh

Led by Data Yakka, Inc. · Updated on 2025-08-22

20000

Participants Needed

1

Research Sites

26 weeks

Total Duration

On this page

Sponsors

D

Data Yakka, Inc.

Lead Sponsor

B

Bangladesh Disaster Preparedness Centre

Collaborating Sponsor

AI-Summary

What this Trial Is About

Eye disease affects billions worldwide, causing vision problems that impact daily life and productivity. This research focuses on eye health in coastal Bangladesh, a region with high poverty, limited healthcare access, and environmental risks that increase eye disease prevalence. The study evaluates a community-based eye screening program using Artificial Intelligence (AI) to detect conditions like diabetic retinopathy, glaucoma, cataracts, and age-related macular degeneration, aiming to improve early diagnosis and care in underserved areas. The program offers a twelve-step eye screening process supported by AI-assisted fundus imaging, combined with partnerships among local organizations and healthcare providers. Screening includes community outreach, vision tests, blood pressure and glucose checks, optometrist evaluations, and selective AI imaging for higher-risk individuals based on age, diabetes, hypertension, or symptoms. Patients diagnosed with severe cataracts are offered surgery through local or regional services. The approach integrates data collection, AI analysis, clinical examinations, counseling, and referrals to support comprehensive eye care. Participants aged 35 and older from the Char Fasson sub-district undergo screening and follow-up over several months. The study collects demographic, clinical, and imaging data securely, with informed consent for storing fundus images. Researchers monitor the number of individuals screened and the prevalence of eye diseases. Safety and data privacy are maintained using encrypted systems and compliance with ethical standards. The program's feasibility, cost, and effectiveness in improving eye care accessibility are assessed throughout the study.

CONDITIONS

Brief Title

"My Eyes, My Light": Amar Chokh, Amar Alo

Who Can Participate

Age: 35Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Age 35+ years
  • Residing in the Sub-District of Char Fasson in the Bhola District
Not Eligible

You will not qualify if you...

  • Known eye disease diagnosis

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - Up to 10 months

Participants undergo a multimodal eye disease screening process which includes community awareness, registration, blood pressure and blood glucose measurement, vision test, optometrist evaluation, informed consent for imaging, fundus imaging for eligible participants, AI-based disease detection, ophthalmologist examination, specialist review, counseling, and referral as needed.

Multiple visits depending on participant eligibility for imaging and follow-up

Treatment

Duration - Variable depending on surgery scheduling

Participants diagnosed with high-grade cataracts and visual impairment are offered cataract surgery through local or regional vision services.

1 to 2 visits depending on surgical care

Long-term Monitoring

Duration - Up to 6 months or longer after intervention

Participants who receive screening and/or surgery may be monitored for eye health outcomes and ongoing care needs.

Follow-up visits as needed depending on care plan

Trial Site Locations

Total: 1 location

1

Shashibhushan Clinic

Char Fasson, Bhola, Bangladesh

Actively Recruiting

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Research Team

M

Mohammad Saidur Rahman, PhD

H

Hafizur Rahman

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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Published Research Related To This Trial

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study.

GBD 2019 Blindness and Vision Impairment Collaborators, Vision Loss Expert Group of the Global Burden of Disease Study

https://pubmed.ncbi.nlm.nih.gov/33275949

Global estimates on the number of people blind or visually impaired by diabetic retinopathy: a meta-analysis from 2000 to 2020.

Vision Loss Expert Group of the Global Burden of Disease Study, GBD 2019 Blindness and Vision Impairment Collaborators

https://pubmed.ncbi.nlm.nih.gov/38937557