Application of artificial intelligence technologies in ocular anterior segment diseases diagnosis and myopia management

Authors: Zhou Yiwen,  Yang Yanning
DOI: 10.3760/cma.j.cn115989-20201014-00692
Published 2021-09-10
Cite asChin J Exp Ophthalmol, 2021, 39(9): 821-826.

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With the improvement of computing power, the refinement of learning algorithms and architectures and the disclosure of big data, many achievements pertaining to artificial intelligence (AI) have been achieved in the field of medicine.In the field of ocular anterior segment, AI can provide adjunctive diagnosis for pterygium, corneal injury and fungal keratitis etc.In addition, AI presents potential value in screening, early diagnosis and management of keratoconus.For cataract, AI is expected to aid telemedicine and optimize IOL calculation.AI also shows good performance in diagnosing narrow anterior chamber angle, identifying the mechanism of angle closure, assessing the image quality of anterior chamber angle, and predicting the efficacy of glaucoma surgery.In optometry, AI appears to be available in predicting myopia progress, indicating risk factors and subjects of high myopia, and providing help for selection of orthokeratology and cornea refractive surgery.The development, application and limitation of AI technology in the field of ocular anterior segment and myopia management were reviewed.

Key words:

Artificial intelligence; Machine learning; Anterior eye segment; Optometry

Contributor Information

Zhou Yiwen

Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan 430060, China

Yang Yanning

Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan 430060, China

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Updated: November 16, 2022 — 2:28 am