Revolutionizing eye disease diagnosis with deep learning and machine learning
Laboratory of Health Physics & Computational Intelligence, Department of Physiotherapy (incl Optics& Optometry Dep),
School of Rehabilitation Sciences, University of Patras, Patras, Greece.
Review Article
World Journal of Advanced Research and Reviews, 2023, 18(01), 741–763
Article DOI: 10.30574/wjarr.2023.18.2.0856
Publication history:
Received on 01 April 2023; revised on 10 May 2023; accepted on 13 May 2023
Abstract:
Ocular medical imaging analysis has been transformed by the recent developments in Deep Learning and Machine Learning. These techniques have made it possible to uncover more detailed information about the eyes which ophthalmologists can utilize in their diagnoses. In this article we will discuss how artificial intelligence applications are helping improve ocular medical imaging. The use of AI technologies has led to a substantial increase in accuracy and efficiency when analyzing eye diseases. By staying up to date on the latest advancements in this field healthcare professionals and researchers can ensure that they are providing their patients with the most effective diagnoses and treatments available. This article provides essential insights into how AI powered methods are changing the face of ocular medical imaging making it an essential read for anyone invested in improving healthcare outcomes in this area.
Keywords:
Deep Learning; Machine Learning; Ocular medical imaging analysis; Artificial intelligence techniques; Eye diseases
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Copyright information:
Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0