Guidelines for the application of artificial intelligence in optical coherence tomography angiography image analysis and ocular disease diagnosis(2024)
10.13389/j.cnki.rao.2024.0066
- VernacularTitle:人工智能在OCTA图像分析和眼部疾病诊断中的应用指南(2024)
- Author:
Expert Workgroup of Guidelines for Application of Artificial Intelligence in OCTA Image Analysis and Ocular Disease Diagnosis
;
Ophthalmic Imaging and Intelligent Medicine Branch of Chi-nese Medicine Education Association
;
Ophthalmology Committee of International Association of Translational Medicine
;
Yi SHAO
;
Xinjian CHEN
;
Weihua YANG
- Keywords:
optical coherence tomography angiography;
artificial intelligence;
image analysis;
disease diagnosis
- From:
Recent Advances in Ophthalmology
2024;44(5):337-345
- CountryChina
- Language:Chinese
-
Abstract:
Optical coherence tomography angiography(OCTA)is a non-invasive imaging technique that provides three-dimensional,informative vascular images.Numerous studies have shown that OCTA technology has unique advantages in biomarker quantification,diagnosis and monitoring,and has therefore been rapidly applied in experiments and clinical stud-ies.Image analysis tools can quickly and accurately quantify vascular and pathological features,greatly improving the value of OCTA imaging.In recent years,artificial intelligence(AI)has become the most powerful image analysis method,espe-cially deep learning-based image analysis,which can provide accurate measurements in various situations,including differ-ent diseases and eye regions.The Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Asso-ciation and the Ophthalmology Committee of International Association of Translational Medicine designated experts to sum-marize the application of AI in OCTA image analysis and disease diagnosis at home and abroad,including accurate detection of choroidal neovascularization and other lesions,accurate quantification of retinal perfusion,and reliable disease diagno-sis.They also analyzed the current challenges and development directions.After multiple rounds of discussion and revi-sions,they drafted the guidelines for the application of AI in OCTA image analysis and ocular disease diagnosis,aiming to provide new insights and references for clinical practice.
