Standardized design and application guidelines: A primary-oriented artificial intelligence screening system of the lesion sign in macular region based on fundus color photography

Title: Standardized design and application guidelines: A primary-oriented artificial intelligence screening system of the lesion sign in macular region based on fundus color photography
Edition: Original
Classification: Standard guideline
Field: Diagnosis
Countries and regions: China
Guidelines users: Engineers of the screening system and the primary doctors using the screening system
Evidence classification method: According to the GRADE, the level of evidence is intermediate and the recommendation level is strong.
Development unit: 中华医学会眼科学分会眼底病学组
Registration time: 2022-05-06
Registration number: IPGRP-2022CN255
Purpose of the guideline: In recent years, AI algorithms have shown good performance in the analysis and recognition of lesion signs in the macular area of fundus color images. As time goes by, screening systems of fundus lesion signs suitable for primary screening will definitely appear in the future. This guideline is intended to provide reference opinions for the definition of the lesion signs in macular area, AI application scenarios, algorithm model building, the establishment of a dataset and labeling, screening system architecture and function design, and image data acquisition. Meanwhile, it can standardize the application of AI system in the primary screening of lesion signs in macular region, and promote the overall improvement of the early screening level of fundus disease in China.