Publication Name	World Journal of Clinical Cases
Manuscript ID	101306
Country	Malaysia

Category	Endocrinology & Metabolism
Manuscript Type	Editorial
Article Title	Revolutionizing diabetic retinopathy screening and management: The role of artificial intelligence and machine learning
Manuscript Source	Invited Manuscript
All Author List	Mona Mohamed Ibrahim Abdalla and Jaiprakash Mohanraj
Funding Agency and Grant Number
Corresponding Author	Mona Mohamed Ibrahim Abdalla, MD, PhD, Department of Human Biology, School of Medicine, International Medical University, No. 126 Jln Jalil Perkasa 19, Bukit Jalil 57000, Kuala Lumpur, Malaysia. monamohamed@imu.edu.my
Key Words	Diabetic retinopathy; Artificial intelligence; Machine learning; Screening; Management; Predictive analytics; Personalized medicine
Core Tip	Leveraging artificial intelligence (AI) and machine learning in diabetic retinopathy care can significantly enhance early detection and personalized treatment. Clinicians should embrace AI-driven screening tools that analyze retinal images with high precision, reducing the risk of human error and improving diagnostic accuracy. Implementing predictive analytics can help in identifying patients at higher risk, allowing for timely interventions and tailored treatment plans. To maximize the benefits, healthcare systems must invest in training and integrating these technologies seamlessly into clinical workflows. Collaborations between technologists and healthcare providers are crucial for developing robust, ethical, and equitable AI solutions in ophthalmic care.
Citation	<p>Abdalla MMI, Mohanraj J. Revolutionizing diabetic retinopathy screening and management: The role of artificial intelligence and machine learning. <i>World J Clin Cases</i> 2025; 13(5): 101306</p>

Received	2024-09-10 11:46
Peer-Review Started	2024-09-10 11:46
To Make the First Decision
Return for Revision	2024-09-25 06:34
Revised	2024-10-09 05:18
Second Decision	2024-11-05 02:45
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-11-05 10:54
Articles in Press	2024-11-05 10:54
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-11-12 00:32

ISSN	2307-8960 (online)
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