ReviewDer Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft2021
[Diagnostics of diseases of the optic nerve head in times of artificial intelligence and big data].
Review in Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe use of artificial intelligence (AI) interesting for automated image segmentation, analysis and classification, among others and has already been described for various fields of ophthalmology.
objectiveThis manuscript provides an overview of current approaches and advances in the application of big data and AI in various diseases of the optic nerve head. MATERIAL AND
methodsA PubMed search was performed. Studies were searched for that answered clinical questions using big data approaches or classical machine learning methods in the analysis of multimodal imaging of the optic nerve head.
resultsBig data can help to answer clinical questions in common diseases such as glaucoma. The AI is applied for the segmentation of multimodal imaging of the optic nerve head as well as for the classification of diseases, such as glaucoma or optic disc edema on this imaging data.
conclusionWith the help of big data and AI, relationships can be recognized more easily and the diagnostics and course assessment of diseases of the optic nerve head can be facilitated or automated. A prerequisite for clinical application is a CE marking as a medical device in Europe and approval by the Food and Drug Administration in the USA.
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