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Formative Evaluation of Digital Health Interventions (5250) Health Services in Resource-Poor Settings and LMICs (694) Chatbots and Conversational Agents (1201) Ophthalmology (122) Generative Language Models Including ChatGPT (1577)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64986, first published .
Ophthalmologist examines patient's eye with slit lamp, laptop shows brain graphic.

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 (5) 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;19(7):1049 View
  3. O'Malley A, Veenhuizen M. Plan-Do-Study-Act (PDSA) prompting. Journal of the Academy of Medical Educators 2026;1:1 View
  4. Kelly D, Chillikatil I, Monroe J, Khanal R, Trippiedi A, Arcalas C, Claxton M, Ndukwe T, Pogrebniak E, Barnett J, O’Banion J, Jones J, Neustein R. Generative artificial intelligence to augment ethical problem solving in ophthalmology: GPT-5.1 versus a human ethicist. International Ophthalmology 2026;46(1) View

Books/Policy Documents

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