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8/4/2025 1:11:07 PM | Browse: 45 | Download: 104
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Received |
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2025-03-17 03:46 |
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Peer-Review Started |
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2025-03-25 09:13 |
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To Make the First Decision |
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Return for Revision |
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2025-04-08 06:14 |
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Revised |
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2025-04-15 19:22 |
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Second Decision |
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2025-05-21 02:48 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-05-21 14:40 |
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Articles in Press |
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2025-05-21 14:40 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-07-08 00:29 |
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Publish the Manuscript Online |
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2025-08-04 12:11 |
| ISSN |
2222-0682 (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) 2025. 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-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Rajwinder Kaur, Arvind Kumar Morya, Parul C Gupta, Sarita Aggarwal, Nitin K Menia, Amanjot Kaur, Sukhchain Kaur and Sony Sinha |
| Funding Agency and Grant Number |
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| Corresponding Author |
Arvind Kumar Morya, MD, Professor, Department of Ophthalmology, All India Institute of Medical Sciences, Bibi Nagar, Hyderabad 508126, Telangana, India. bulbul.morya@gmail.com |
| Key Words |
Age-related macular degeneration; Alzheimer's disease; Artificial intelligence; Automatic retinal image analysis; Chronic kidney disease; Convolutional neural networks; Diabetic retinopathy; Diabetic macular edema; International council of ophthalmology; Machine learning; Massive training artificial neural networks; Natural language processing; OCT angiography; Optical coherence tomography; Vision transformers |
| Core Tip |
In this modern world, artificial intelligence-based algorithms have a definitive role in the early screening of different ocular diseases. Early screening helps in rapid referral and appropriate management to prevent sight-threatening complications. However, all said and done, it needs to be applied wisely to preserve the importance of human touch and empathy in clinical practice. |
| Publish Date |
2025-08-04 12:11 |
| Citation |
<p>Kaur R, Morya AK, Gupta PC, Aggarwal S, Menia NK, Kaur A, Kaur S, Sinha S. Artificial intelligence-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders. <i>World J Methodol</i> 2025; 15(4): 107166</p> |
| URL |
https://www.wjgnet.com/2222-0682/full/v15/i4/107166.htm |
| DOI |
https://dx.doi.org/10.5662/wjm.v15.i4.107166 |
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