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Publication Name World Journal of Methodology
Manuscript ID 107166
Country India
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
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.
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; In press
Received
2025-03-17 03:46
Peer-Review Started
2025-03-25 09:13
To Make the First Decision
Return for Revision
2025-04-08 06:14
Revised
2025-04-15 19:22
Second Decision
2025-05-21 02:48
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-05-21 14:40
Articles in Press
2025-05-21 14:40
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
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/
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