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

There are no citations yet available for this article according to Crossref .