Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reviews Review Faculty Publications- Reviews Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial intelligence for diabetic retinopathy detection: A systematic review Subject The topic of the resource Artificial intelligence; Deep learning; Diabetic retinopathy; Machine learning; Ophthalmologist; Proliferative diabetic retinopathy vision loss Description An account of the resource The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all over the world. Diabetic eye illness is identified as one of the most common reasons for vision loss among people. To properly manage DR, there has been immense research and exploration of state-of-the-art methods using artificial intelligence (AI) enabled models. Specifically, AI-empowered models combine multiple machine learning (ML) and deep learning (DL) based algorithms to improve the performance of the developed system architectures that are commercially utilized for the detection of DR disease. However, these models still exhibit several limitations, such as computational complexity, low accuracy in DR stage detection due to class imbalance, more time consumption, and high maintenance cost. To overcome these limits, a more advanced model is required to accurately predict the DR stage in the initial stages. For example, the identification of DR disease in the initial stage helps the ophthalmologist to make an accurate and safe diagnosis, and thereby, eyesight-related issues may be treated more effectively. This study conducted a systematic literature review (SLR) to provide a detailed discussion of the background of diabetic retinopathy, its major causes, challenges faced by ophthalmologists in DR detection, and possible solutions for identifying DR in the initial stage. Also, the SLR provides an in-depth analysis of the existing state-of-the-art techniques and system models used in DR diagnosis based on AI, ML, and recently developed DL-based approaches. Furthermore, this present survey would be helpful for the research community to receive information on the recent approaches used for DR identification along with their significant challenges and limitations. 2024 The Authors Creator An entity primarily responsible for making the resource Senapati A.; Tripathy H.K.; Sharma V.; Gandomi A.H. Source A related resource from which the described resource is derived Informatics in Medicine Unlocked, Vol-45 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.imu.2024.101445" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.imu.2024.101445</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184074368&amp;doi=10.1016%2Fj.imu.2024.101445&amp;partnerID=40&amp;md5=3a2ba61b0340ffd8d7ce2bfb3d336c77" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184074368&amp;doi=10.1016%2fj.imu.2024.101445&amp;partnerID=40&amp;md5=3a2ba61b0340ffd8d7ce2bfb3d336c77</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23529148 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Senapati A., School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, 751024, India; Tripathy H.K., School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, 751024, India; Sharma V., Department of Computational Sciences, CHRIST(Deemed to be University), Delhi-NCR Campus, India; Gandomi A.H., Faculty of Engineering and IT, University of Technology Sydney, Ultimo, 2007, NSW, Australia, University Research and Innovation Center (EKIK), uda University, Budapest, 1034, Hungary