Publication trends of artificial intelligence in retina in 10 years: Where do we stand?
PurposeArtificial intelligence (AI) has been applied in the field of retina. The purpose of this study was to analyze the study trends within AI in retina by reporting on publication trends, to identify journals, countries, authors, international collaborations, and keywords involved in AI in retina...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.1001673/full |
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| author | Jingyuan Yang Jingyuan Yang Shan Wu Rongping Dai Rongping Dai Weihong Yu Weihong Yu Youxin Chen Youxin Chen |
| author_facet | Jingyuan Yang Jingyuan Yang Shan Wu Rongping Dai Rongping Dai Weihong Yu Weihong Yu Youxin Chen Youxin Chen |
| author_sort | Jingyuan Yang |
| collection | DOAJ |
| description | PurposeArtificial intelligence (AI) has been applied in the field of retina. The purpose of this study was to analyze the study trends within AI in retina by reporting on publication trends, to identify journals, countries, authors, international collaborations, and keywords involved in AI in retina.Materials and methodsA cross-sectional study. Bibliometric methods were used to evaluate global production and development trends in AI in retina since 2012 using Web of Science Core Collection.ResultsA total of 599 publications were retrieved ultimately. We found that AI in retina is a very attractive topic in scientific and medical community. No journal was found to specialize in AI in retina. The USA, China, and India were the three most productive countries. Authors from Austria, Singapore, and England also had worldwide academic influence. China has shown the greatest rapid increase in publication numbers. International collaboration could increase influence in this field. Keywords revealed that diabetic retinopathy, optical coherence tomography on multiple diseases, algorithm were three popular topics in the field. Most of top journals and top publication on AI in retina were mainly focused on engineering and computing, rather than medicine.ConclusionThese results helped clarify the current status and future trends in researches of AI in retina. This study may be useful for clinicians and scientists to have a general overview of this field, and better understand the main actors in this field (including authors, journals, and countries). Researches are supposed to focus on more retinal diseases, multiple modal imaging, and performance of AI models in real-world clinical application. Collaboration among countries and institutions is common in current research of AI in retina. |
| first_indexed | 2024-04-12T17:27:25Z |
| format | Article |
| id | doaj.art-579434c18a804cca8440755d1ae3b31e |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-04-12T17:27:25Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-579434c18a804cca8440755d1ae3b31e2022-12-22T03:23:16ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-11-01910.3389/fmed.2022.10016731001673Publication trends of artificial intelligence in retina in 10 years: Where do we stand?Jingyuan Yang0Jingyuan Yang1Shan Wu2Rongping Dai3Rongping Dai4Weihong Yu5Weihong Yu6Youxin Chen7Youxin Chen8Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaPurposeArtificial intelligence (AI) has been applied in the field of retina. The purpose of this study was to analyze the study trends within AI in retina by reporting on publication trends, to identify journals, countries, authors, international collaborations, and keywords involved in AI in retina.Materials and methodsA cross-sectional study. Bibliometric methods were used to evaluate global production and development trends in AI in retina since 2012 using Web of Science Core Collection.ResultsA total of 599 publications were retrieved ultimately. We found that AI in retina is a very attractive topic in scientific and medical community. No journal was found to specialize in AI in retina. The USA, China, and India were the three most productive countries. Authors from Austria, Singapore, and England also had worldwide academic influence. China has shown the greatest rapid increase in publication numbers. International collaboration could increase influence in this field. Keywords revealed that diabetic retinopathy, optical coherence tomography on multiple diseases, algorithm were three popular topics in the field. Most of top journals and top publication on AI in retina were mainly focused on engineering and computing, rather than medicine.ConclusionThese results helped clarify the current status and future trends in researches of AI in retina. This study may be useful for clinicians and scientists to have a general overview of this field, and better understand the main actors in this field (including authors, journals, and countries). Researches are supposed to focus on more retinal diseases, multiple modal imaging, and performance of AI models in real-world clinical application. Collaboration among countries and institutions is common in current research of AI in retina.https://www.frontiersin.org/articles/10.3389/fmed.2022.1001673/fullartificial intelligencebibliometricdeep learningretinaretinal diseases |
| spellingShingle | Jingyuan Yang Jingyuan Yang Shan Wu Rongping Dai Rongping Dai Weihong Yu Weihong Yu Youxin Chen Youxin Chen Publication trends of artificial intelligence in retina in 10 years: Where do we stand? Frontiers in Medicine artificial intelligence bibliometric deep learning retina retinal diseases |
| title | Publication trends of artificial intelligence in retina in 10 years: Where do we stand? |
| title_full | Publication trends of artificial intelligence in retina in 10 years: Where do we stand? |
| title_fullStr | Publication trends of artificial intelligence in retina in 10 years: Where do we stand? |
| title_full_unstemmed | Publication trends of artificial intelligence in retina in 10 years: Where do we stand? |
| title_short | Publication trends of artificial intelligence in retina in 10 years: Where do we stand? |
| title_sort | publication trends of artificial intelligence in retina in 10 years where do we stand |
| topic | artificial intelligence bibliometric deep learning retina retinal diseases |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.1001673/full |
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