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8/4/2025 12:11:33 PM | Browse: 51 | Download: 144
Publication Name World Journal of Methodology
Manuscript ID 107166
Country India
Received
2025-03-17 03:46
Peer-Review Started
2025-03-25 09:13
First Decision by Editorial Office Director
2025-04-08 06:14
Return for Revision
2025-04-08 06:14
Revised
2025-04-15 19:22
Publication Fee Transferred
Second Decision by Editor
2025-05-21 02:48
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-05-21 14:40
Articles in Press
2025-05-21 14:40
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-07-08 00:29
Publish the Manuscript Online
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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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
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
ORCID
Author(s) ORCID Number
Arvind Kumar Morya http://orcid.org/0000-0003-0462-119X
Sony Sinha http://orcid.org/0000-0002-6133-5977
Funding Agency and Grant Number
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

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. World J Methodol 2025; 15(4): 107166

URL https://www.wjgnet.com/2222-0682/full/v15/i4/107166.htm
DOI https://dx.doi.org/10.5662/wjm.v15.i4.107166
Full Article (PDF) WJM-15-107166-with-cover.pdf
Manuscript File 107166_Auto_Edited_064538.docx
Answering Reviewers 107166-answering-reviewers.pdf
Audio Core Tip 107166-audio.mp3
Conflict-of-Interest Disclosure Form 107166-conflict-of-interest-statement.pdf
Copyright License Agreement 107166-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 107166-non-native-speakers.pdf
Video 107166-Video.mp4
Peer-review Report 107166-peer-reviews.pdf
Scientific Misconduct Check 107166-scientific-misconduct-check.png
Scientific Editor Work List 107166-scientific-editor-work-list.pdf
CrossCheck Report 107166-crosscheck-report.pdf