Correlation between pterygium and dry eye: diagnostics and risk factors not considered

Martinez-Cornejo, Camila A.; Levano, Erick R Moscoso

doi:10.5935/0004-2749.2022-0240

Cited by 1 publication

(1 citation statement)

References 4 publications

(9 reference statements)

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“…Pterygium, a common ophthalmic disease caused by conjunctival laxity and cell proliferation, appears triangular, resembling an insect's wings [5] . It can cause visual discomfort, eye fatigue, and dryness [6] and may lead to vision loss if left untreated. Numerous studies have been conducted on the cause of pterygium.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence assisted pterygium diagnosis: current status and perspectives

Chen,

Wu,

Zhu

et al. 2023

Int J Ophthalmol

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Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early and accurate diagnosis is essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians with pterygium diagnosis. This paper provides an overview of AI-assisted pterygium diagnosis, including the AI techniques used such as machine learning, deep learning, and computer vision. Furthermore, recent studies that have evaluated the diagnostic performance of AI-based systems for pterygium detection, classification and segmentation were summarized. The advantages and limitations of AI-assisted pterygium diagnosis and discuss potential future developments in this field were also analyzed. The review aims to provide insights into the current state-of-the-art of AI and its potential applications in pterygium diagnosis, which may facilitate the development of more efficient and accurate diagnostic tools for this common ocular disease.

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Section: Introductionmentioning

confidence: 99%