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SYSTEMATIC REVIEW article
Front. Med.
Sec. Ophthalmology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1572750
This article is part of the Research Topic Artificial Intelligence Applications in Chronic Ocular Diseases, Volume II View all 22 articles
Artificial Intelligence in Pathologic Myopia: A Review of Clinical Researches
Provisionally accepted- 1 Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
- 2 Shenzhen Eye Hospital, Shenzhen, China
Myopia is a significant global health challenge, with the incidence of pathologic myopia (PM) on the rise. PM-related fundus diseases have become a leading cause of irreversible blindness. Early detection and treatment are crucial for the prevention and control of myopia.Recent advancements in artificial intelligence (AI), particularly in machine learning and deep learning algorithms, have shown promising results in the field of PM in ophthalmology. This review explores the latest developments in AI technology for managing PM, emphasizing its role in screening and diagnosis, grading and classification, and predictive assessment. AI has shown 2 significant potential for clinical application in PM management, enhancing its intelligent, precise, and efficient practices.
Keywords: artificial intelligence, Pathologic myopia, diagnosis, Classification, prediction
Received: 12 Feb 2025; Accepted: 03 Apr 2025.
Copyright: © 2025 He, Wang, Zhang, Chi and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiaojun Zhang, Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
Wei Chi, Shenzhen Eye Hospital, Shenzhen, 518040, China
Weihua Yang, Shenzhen Eye Hospital, Shenzhen, 518040, China
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