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

Formative Evaluation of Digital Health Interventions (2990) Chatbots and Conversational Agents (682) Generative Language Models Including ChatGPT (599) Ophthalmology (64) Health Services in Resource-Poor Settings and LMICs (488)

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 (1) Tweetations (3) Metrics
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Dr Andrew O'Malley Dr Andrew O'Malley @OMalleyFife

???? Our new JMIR Form Res is out! ???? GenAI is worse at diagnosing disease that is more common in LMICs. Prompt engineering can make it better. ????️???? Read more here: https://t.co/KgH5KC1qzm #meded #genai

8:28 AM · Jul 01, 2025

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Gözde Özakıncı Gözde Özakıncı @Gozde786

RT @OMalleyFife: ???? Our new JMIR Form Res is out! ???? GenAI is worse at diagnosing disease that is more common in LMICs. Prompt engineering c…

8:30 AM · Jul 01, 2025

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