A scoping review of the use of artificial intelligence models in automated OCT analysis and prediction of treatment outcomes in diabetic macular oedema

A scoping review of the use of artificial intelligence models in automated OCT analysis and prediction of treatment outcomes in diabetic macular oedema

Objective: This review aims to identify gaps and provide direction for future research examining the use of artificial intelligence (AI) and optical coherence tomography (OCT) in the investigation and management of diabetic macular oedema (DMO). Methods: A comprehensive literature search was conduct...

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Bibliographic Details
Main Authors: Mohaimen Al-Zubaidy, Agnieszka Stankiewicz, Matthew Anderson, Jordan Reed, Veronica Corona, Rebecca Pope, Boguslaw Obara, Maged S. Habib, David H. Steel
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Artificial intelligence
Diabetic macular oedema
DMO
SD-OCT (spectral domain (and/or swept source)
Optical coherence tomography)
Morphological features
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000656
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