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

Decision Support for Health Professionals (1543) Clinical Information and Decision Making (1919) Advanced Data Analytics in eHealth (209) Big Data (307) Case Study (34) Artificial Intelligence (2136) Computer-Aided Diagnosis (252)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63109, first published .
Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design

Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design

Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design

Authors of this article:

Faisal Ghaffar1 Author Orcid Image ;   Nadine M. Furtado2 Author Orcid Image ;   Imad Ali3 Author Orcid Image ;   Catherine Burns1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Marcaccini G, Seth I, Lim B, Sacks B, Novo J, Ting J, Cuomo R, Rozen W. Management of Burns: Multi-Center Assessment Comparing AI Models and Experienced Plastic Surgeons. Journal of Clinical Medicine 2025;14(9):3078 View
  2. Xu G, Murthy S, Jia B. Enhancing Intuitive Decision-Making and Reliance Through Human–AI Collaboration: A Review. Informatics 2025;12(4):135 View