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. 2025 Apr 23:12:1572750.
doi: 10.3389/fmed.2025.1572750. eCollection 2025.

Artificial intelligence in pathologic myopia: a review of clinical research studies

Xinying He #  1 , Yun Wang #  2 , Xiaojun Zhang  1 , Wei Chi  2 , Weihua Yang  2
Affiliations

Artificial intelligence in pathologic myopia: a review of clinical research studies

Xinying He et al. Front Med (Lausanne). .

Abstract

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 significant potential for clinical application in PM management, enhancing its intelligent, precise, and efficient practices.

Keywords: artificial intelligence; classification; diagnosis; pathologic myopia; prediction.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Figures

Figure 1
Figure 1
AI pipeline for PM clinical application.
Figure 2
Figure 2
Illustration of the literature search strategy in PUBMED and WOS core collection.
See this image and copyright information in PMC

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