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

Formative Evaluation of Digital Health Interventions (3272) mHealth for Screening (298) Ophthalmology (69) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (721) Health Services in Resource-Poor Settings and LMICs (548) mHealth in a Clinical Setting (746) mHealth for Diagnosis (82)

Published on in Vol 5, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26602, first published .
Acceptance of a Smartphone-Based Visual Field Screening Platform for Glaucoma: Pre-Post Study

Acceptance of a Smartphone-Based Visual Field Screening Platform for Glaucoma: Pre-Post Study

Acceptance of a Smartphone-Based Visual Field Screening Platform for Glaucoma: Pre-Post Study

Authors of this article:

Esmael Kedir Nida1 Author Orcid Image ;   Sisay Bekele2 Author Orcid Image ;   Luc Geurts1 Author Orcid Image ;   Vero Vanden Abeele1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Simakova I, Grigoryan L, Gorbacheva K. Modern possibilities of functional glaucoma screening (part 1). National Journal glaucoma 2023;22(4):99 View
  2. Sarikonda A, Rafi R, Schuessler C, Mouchtouris N, Bray D, Farrell C, Evans J. Smartphone Applications for Remote Monitoring of Patients After Transsphenoidal Pituitary Surgery: A Narrative Review of Emerging Technologies. World Neurosurgery 2024;191:213 View
  3. Song R, Wang Y, Kong Y, Fan X, Yuan C, Zha X. Causal associations between mobile phone usage and glaucoma risk: A Mendelian randomization study. Medicine 2024;103(48):e40666 View

Conference Proceedings

  1. Han J, Oh S, Jo H, Ortiz B, Li Y, Chong J. 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE). Automated Glaucoma Classification in Fundus Images Using Multi-Backbone Feature Fusion View