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Articles Published Processes
3/4/2021 7:10:10 AM | Browse: 551 | Download: 859
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Received |
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2020-11-28 16:12 |
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Peer-Review Started |
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2020-11-28 16:12 |
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To Make the First Decision |
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Return for Revision |
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2020-12-18 03:51 |
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Revised |
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2020-12-31 15:34 |
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Second Decision |
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2021-02-03 03:37 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-02-12 15:30 |
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Articles in Press |
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2021-02-12 15:30 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-02-18 21:46 |
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Typeset the Manuscript |
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2021-03-03 07:34 |
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Publish the Manuscript Online |
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2021-03-04 07:10 |
| ISSN |
2644-3260 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Ophthalmology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in ophthalmology: A new era in beginning
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Bijnya Birajita Panda, Subhodeep Thakur, Sumita Mohapatra and Subhabrata Parida |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Bijnya Birajita Panda, MBBS, MS, Assistant Professor, Department of Ophthalmology, S.C.B Medical College and Hospital, Cuttack, Manglabag, Cuttack 753007, Odisha, India. bigyan_panda@yahoo.co.in |
| Key Words |
Artificial Intelligence; Retina; Diabetic retinopathy; Glaucoma; Retinopathy of prematurity; Image-based learning |
| Core Tip |
Artificial intelligence has improved the diagnostic ability in the ophthalmology field, thereby improved patient care. The in-depth image recognition in diabetic retinopathy, retinopathy of prematurity and age-related macular degeneration has helped in early diagnosis and prevention. The detection of visual filed defect even at its minute stage in glaucoma and other ocular conditions has accurately staged the disease with the prediction of its severity. Still, many challenges need to be addressed such as image incorporation, training sets and the black box dilemma. Nevertheless, despite the existing differences, there is always a chance of improvising machines to potentiate their efficacy and standards. |
| Publish Date |
2021-03-04 07:10 |
| Citation |
Panda BB, Thakur S, Mohapatra S, Parida S. Artificial intelligence in ophthalmology: A new era in beginning. Artif Intell Med Imaging 2021; 2(1): 5-12 |
| URL |
https://www.wjgnet.com/2644-3260/full/v2/i1/5.htm |
| DOI |
https://dx.doi.org/10.35711/aimi.v2.i1.5 |
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