{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T13:49:13Z","timestamp":1788356953384,"version":"build-2803163510"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,4,6]],"date-time":"2024-04-06T00:00:00Z","timestamp":1712361600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002553","name":"Seoul National University of Science and Technology","doi-asserted-by":"publisher","award":["2022\u20100659"],"award-info":[{"award-number":["2022\u20100659"]}],"id":[{"id":"10.13039\/501100002553","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ophthalmic Physiologic Optic"],"published-print":{"date-parts":[[2024,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Artificial intelligence (AI) has emerged as a transformative force with great potential in various fields, including healthcare. In recent years, AI has garnered significant attention due to its potential to revolutionise ophthalmology, leading to advancements in patient care such as disease detection, diagnosis, treatment and monitoring of disease progression. This study presents a comprehensive analysis of the research trends and collaborative networks at the intersection of AI and ophthalmology. In this study, we conducted an extensive search of the Web of Science Core Collection to identify articles related to \u2018artificial intelligence\u2019 in ophthalmology published from 1968 to 2023. We performed co\u2010occurrence keywords and co\u2010authorship network analyses using VOSviewer software to explore the relationships between keywords and country collaboration. We found a remarkable surge in articles applying AI in ophthalmology after 2017, marking a turning point in the integration of AI within the medical field. The primary application of AI shifted towards the diagnosis of ocular disease, which was particularly evident through keywords such as glaucoma, diabetic retinopathy and age\u2010related macular degeneration. Analysis of the collaboration networks of countries revealed a global expansion of ophthalmology\u2010related AI research. This study provides valuable insights into the evolving landscape of AI integration in ophthalmology, indicating its growing potential for enhancing disease detection, diagnosis, treatment planning and monitoring of disease progression. In order to translate AI technologies into clinical practice effectively, it is imperative to comprehend the evolving research trends and advancements at the intersection of AI and ophthalmology.<\/jats:p>","DOI":"10.1111\/opo.13315","type":"journal-article","created":{"date-parts":[[2024,4,6]],"date-time":"2024-04-06T03:49:06Z","timestamp":1712375346000},"page":"1031-1040","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Advancements and turning point of artificial intelligence in ophthalmology: A comprehensive analysis of research trends and collaborative networks"],"prefix":"10.1007","volume":"44","author":[{"given":"Jihye","family":"Ahn","sequence":"first","affiliation":[{"name":"Department of Optometry, College of Energy and Biotechnology Seoul National University of Science and Technology  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5728-5364","authenticated-orcid":false,"given":"Moonsung","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Optometry, College of Energy and Biotechnology Seoul National University of Science and Technology  Seoul Republic of Korea"},{"name":"Convergence Institute of Biomedical Engineering and Biomaterials Seoul National University of Science and Technology  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,4,6]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-444-51667-1.50051-3"},{"key":"e_1_2_10_3_1","doi-asserted-by":"crossref","unstructured":"JoinerIA.Emerging library technologies.Hull:Chandos Publishing Elsevier;2018. p.169\u2013175.","DOI":"10.1016\/B978-0-08-102253-5.00010-1"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.xinn.2021.100179"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42979\u2010022\u201001043\u2010x"},{"key":"e_1_2_10_6_1","first-page":"25","volume-title":"The rise of artificial intelligence in healthcare applications","author":"Bohr A","year":"2020"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-05881-4"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00417-021-05511-7"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.21037\/atm\u201022\u20103773"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.preteyeres.2020.100900"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.survophthal.2021.03.003"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/opo.13207"},{"key":"e_1_2_10_13_1","first-page":"1","article-title":"Utility of artificial intelligence\u2010based large language models in ophthalmic care","author":"Biswas S","year":"2024","journal-title":"Ophthalmic Physiol Opt"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.xcrm.2022.100861"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/cts.12884"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.030"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40662\u2010020\u201000183\u20106"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.7861\/fhj.2021-0095"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1097\/ICU.0000000000000695"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtos.2017.10.002"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.1177\/00469580231174333"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-017-2300-7"},{"key":"e_1_2_10_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-009-0146-3"},{"key":"e_1_2_10_24_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature.2016.19575"},{"key":"e_1_2_10_25_1","volume-title":"The AI index 2018 annual report","author":"Shoham Y","year":"2018"},{"key":"e_1_2_10_26_1","unstructured":"TaulliT.2018's Biggest Moments In AI (Artificial Intelligence).2018[cited 2023 Jul 15]; Available from:https:\/\/www.forbes.com\/sites\/tomtaulli\/2018\/12\/22\/2018s\u2010biggest\u2010moments\u2010in\u2010ai\u2010artificial\u2010intelligence\/?sh=382ce2117855"},{"key":"e_1_2_10_27_1","volume-title":"The AI index 2023 annual report","author":"Maslej N","year":"2023"},{"key":"e_1_2_10_28_1","unstructured":"ARVO 2019\u20132023 Strategic Plan. 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