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Evaluation of Large Language Models in the Diagnosis, Urgency Triage, and Initial Management of Ophthalmic Emergencies

Abstract:

Introduction Artificial intelligence (AI) technologies are progressing rapidly and becoming an integral part of how healthcare professionals obtain medical knowledge. Large language models (LLMs) now enable clinicians to have direct access to medical guidance and support in clinical reasoning. In ophthalmology, where prompt identification of sight-threatening symptoms is essential, these tools can offer diagnostic support, urgency triaging, and initial management guidance, thus potentially re...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.7759/cureus.101433

Authors

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Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author


Publisher:
Springer
Journal:
Cureus: Journal of Medical Science More from this journal
Volume:
18
Issue:
1
Pages:
e101433
Publication date:
2026-01-13
Acceptance date:
2026-01-13
DOI:
EISSN:
2168-8184
ISSN:
2168-8184
Pmid:
41694895


Language:
English
Keywords:
Pubs id:
2390757
Local pid:
pubs:2390757
Source identifiers:
3789604
Deposit date:
2026-02-24
ARK identifier:
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