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CC BY-NC-ND 4.0 · Klin Monbl Augenheilkd 2024; 241(09): 1023-1031
DOI: 10.1055/a-2378-6138
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Role of Artificial Intelligence in Retinal Diseases

Artikel in mehreren Sprachen: English | deutsch

Authors

  • Julia Mai

    Universitätsklinik für Augenheilkunde und Optometrie, Medizinische Universität Wien, Österreich

  • Ursula Schmidt-Erfurth

    Universitätsklinik für Augenheilkunde und Optometrie, Medizinische Universität Wien, Österreich
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Abstract

Artificial intelligence (AI) has already found its way into ophthalmology, with the first approved algorithms that can be used in clinical routine. Retinal diseases in particular are proving to be an important area of application for AI, as they are the main cause of blindness and the number of patients suffering from retinal diseases is constantly increasing. At the same time, regular imaging using high-resolution modalities in a standardised and reproducible manner generates immense amounts of data that can hardly be processed by human experts. In addition, ophthalmology is constantly experiencing new developments and breakthroughs that require a re-evaluation of patient management in routine clinical practice. AI is able to analyse these volumes of data efficiently and objectively and also provide new insights into disease progression and therapeutic mechanisms by identifying relevant biomarkers. AI can make a significant contribution to screening, classification and prognosis of various retinal diseases and can ultimately be a clinical decision support system, that significantly reduces the burden on both everyday clinical practice and the healthcare system, by making more efficient use of costly and time-consuming resources.

Keywords

retina - optical coherence tomography - artificial intelligence - retinal imaging


Publikationsverlauf

Eingereicht: 24. April 2024

Angenommen: 30. Juli 2024

Artikel online veröffentlicht:
16. September 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

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