Applications of Artificial Intelligence in Ophthalmology: General Overview
Joint Authors
Tong, Yan
Shen, Yin
Chen, Changzheng
Xing, Yiqiao
Lu, Wei
Yu, Yue
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
With the emergence of unmanned plane, autonomous vehicles, face recognition, and language processing, the artificial intelligence (AI) has remarkably revolutionized our lifestyle.
Recent studies indicate that AI has astounding potential to perform much better than human beings in some tasks, especially in the image recognition field.
As the amount of image data in imaging center of ophthalmology is increasing dramatically, analyzing and processing these data is in urgent need.
AI has been tried to apply to decipher medical data and has made extraordinary progress in intelligent diagnosis.
In this paper, we presented the basic workflow for building an AI model and systematically reviewed applications of AI in the diagnosis of eye diseases.
Future work should focus on setting up systematic AI platforms to diagnose general eye diseases based on multimodal data in the real world.
American Psychological Association (APA)
Lu, Wei& Tong, Yan& Yu, Yue& Xing, Yiqiao& Chen, Changzheng& Shen, Yin. 2018. Applications of Artificial Intelligence in Ophthalmology: General Overview. Journal of Ophthalmology،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1196646
Modern Language Association (MLA)
Lu, Wei…[et al.]. Applications of Artificial Intelligence in Ophthalmology: General Overview. Journal of Ophthalmology No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1196646
American Medical Association (AMA)
Lu, Wei& Tong, Yan& Yu, Yue& Xing, Yiqiao& Chen, Changzheng& Shen, Yin. Applications of Artificial Intelligence in Ophthalmology: General Overview. Journal of Ophthalmology. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1196646
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196646