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

Formative Evaluation of Digital Health Interventions (3495) Health Services in Resource-Poor Settings and LMICs (582) Chatbots and Conversational Agents (795) Ophthalmology (83) Generative Language Models Including ChatGPT (837)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64986, first published .
Enhancing Diagnostic Accuracy of Ophthalmological Conditions With Complex Prompts in GPT-4: Comparative Analysis of Global and Low- and Middle-Income Country (LMIC)–Specific Pathologies

Enhancing Diagnostic Accuracy of Ophthalmological Conditions With Complex Prompts in GPT-4: Comparative Analysis of Global and Low- and Middle-Income Country (LMIC)–Specific Pathologies

Enhancing Diagnostic Accuracy of Ophthalmological Conditions With Complex Prompts in GPT-4: Comparative Analysis of Global and Low- and Middle-Income Country (LMIC)–Specific Pathologies

Authors of this article:

Shona Alex Tapiwa M'gadzah1 Author Orcid Image ;   Andrew O'Malley1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. M'gadzah S, O'Malley A. Enhancing Diagnostic Accuracy of Ophthalmological Conditions With Complex Prompts in GPT-4: Comparative Analysis of Global and Low- and Middle-Income Country (LMIC)–Specific Pathologies. JMIR Formative Research 2025;9:e64986 View
  2. Yousef E, Bolgova O, Yaqinuddin A, Shaikh A, Mavrych V. Enhancing AI's ability to interpret histological images with prompt engineering: An evaluation of GPT‐4o performance. Anatomical Sciences Education 2026 View

Books/Policy Documents

  1. Ogundaini O, Morris L. Artificial Intelligence Research. View