Application of artificial intelligence in ophthalmic optical coherence tomography

Authors: Duan Kairui,  Zhang Hong
DOI: 10.3760/cma.j.cn115989-20191231-00566
Published 2022-01-10
Cite asChin J Exp Ophthalmol, 2022, 40(1): 83-87.

Abstract                              [View PDF] [Read Full Text]

Artificial intelligence (AI) has become the forefront of research in computer science, which has been widely used in the medical field. Ophthalmology is a discipline highly dependent on imaging inspection. AI has great advantages in image recognition.The combination of the two has gradually become a research focus in ophthalmology.Recent research results have promoted the development of the diagnosis, classification, staging, treatment approach and follow-up of treatment effects of ophthalmic diseases, such as angle-closure glaucoma, age-related macular degeneration and diabetic retinopathy. In recent years, the rapid development of optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) has become an indispensable part of the ophthalmic auxiliary examination.More and more researchers have applied deep learning technology in AI to identify and interpret OCT and OCTA images to diagnose eye diseases. Some researchers have applied AI to OCTA to improve the quality of images. AI shows excellent specificity and accuracy in interpretation and diagnosis for disease through images which can even be comparable to human experts. This article mainly outlines the concept and characteristics of AI as well as the current application of AI combined with OCT and OCTA images in eye diseases.

Key words:

Artificial intelligence; Deep learning; Tomography, optical coherence; Age-related macular degeneration; Diabetic retinopathy; Glaucoma

Contributor Information

Duan Kairui

Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China

Zhang Hong

Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China

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