Narrative review reveals the emerging applications of artificial intelligence across clinical ophthalmology, highlighting its potential to improve early lesion detection and diagnostic accuracy.
Artificial intelligence (AI) is rapidly developing and supporting all areas of medical science and clinical practice. This review discusses the development and potential practical use of AI in the field of ophthalmology. The aim of the study was to assess to what extent the opportunities offered by the introduction of artificial intelligence into ophthalmology have been exploited and what their developmental potential is, with a particular focus on clinical practice. The identified scientific gap lies in the very early stage of research into the application of AI in ophthalmology. A comprehensive review of existing applications of AI in ophthalmology shows how AI is already or can be used to support ophthalmologists in preventing, diagnosing, predicting disease, planning and monitoring treatment, and then evaluating changes cyclically. Wider implementation of AI technology in ophthalmology could improve early lesion detection, reduce misdiagnosis and contribute to better overall patient care.
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Myślicka et al. (2024) studied this question.
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