This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (eHealth) (700) Computer-Aided Diagnosis (270) Imaging Informatics (320) Decision Support for Health Professionals (1603) Cost-Effectiveness and Economics (370) Design of Processes and Workflows (207)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74164, first published .
Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial

Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial

Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial

Authors of this article:

Yibing Chen1, 2 Author Orcid Image ;   Kai Hui Koh3 Author Orcid Image ;   Jin Wei Clarine Ho3 Author Orcid Image ;   Samantha Min Er Yew1, 2 Author Orcid Image ;   Jocelyn Hui Lin Goh1, 2, 3 Author Orcid Image ;   Elaine Lum4 Author Orcid Image ;   Yih Chung Tham3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yibing Chen   1, 2 , BEng ;   Kai Hui Koh   3 , BSc ;   Jin Wei Clarine Ho   3 , SDCO ;   Samantha Min Er Yew   1, 2 , BSc ;   Jocelyn Hui Lin Goh   1, 2, 3 , BEng ;   Elaine Lum   4 , PhD ;   Yih Chung Tham   3 , PhD

1 Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

2 Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

3 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore

4 Centre for Population Health Research & Implementation, SingHealth, Singapore, Singapore

Corresponding Author:

  • Yih Chung Tham, PhD
  • Singapore Eye Research Institute
  • Singapore National Eye Centre
  • The Academia, 20 College Road, Discovery Tower Level 6
  • Singapore 169856
  • Singapore
  • Phone: 65 6576 7298
  • Email: thamyc@nus.edu.sg