当全球眼健康面临青少年近视率攀升、老龄化眼病激增的双重挑战；当优质医疗资源与基层需求间的鸿 沟亟待填补，人工智能正成为破局的关键力量。 在此背景下,爱尔眼科在中华医学会第二十九次眼科学术大会上,携手华为正式发布《爱尔眼科AI战略白 皮书》(以下简称《白皮书》),系统擘画"创建更有温度的AI智慧医院。 时代命题:数据成为持续迭代的"智能资产" 眼健康已成为关乎全球公共卫生的核心议题。 目前,公众的眼部健康管理意识普遍不足,就医仍以"症状驱动"为主,青光眼、糖尿病视网膜病变等早期无 症状疾病常被忽视;眼科诊疗高度依赖影像与经验,量大繁杂的数据和标准的不一致,让医生陷入"信息过 载"困境;基层医疗机构设备虽逐步配齐,却缺乏"读得懂、判得准"的专业能力,长期随访和持续干预仍显 不足…… 《白皮书》指出,AI不仅有望整合多源复杂数据,转化为可复制、可推广的诊疗知识体系;也能帮助基层医 生接近专家水准,使医疗服务更加均衡;还能让科研人员突破经验局限,更快探索疾病机制和新疗法;更能 通过智能化交互改善患者体验,让疾病防控更早、更有效。 换句话说,AI正在超越传统的数据处理角色,使不同来源、不同格式的数据实现"对话",让数据 ...

Core Insights - The conference held in Hangzhou focused on the integration of artificial intelligence (AI) in ophthalmology, highlighting the need for innovative solutions to address the challenges in eye health services [1][2] - The release of the "Aier Eye Care AI Strategic White Paper" marks a significant step in outlining the strategic vision for AI's role in transforming eye health services [9][11] Industry Challenges - The eye health sector in China faces dual pressures: an aging population leading to increased prevalence of eye diseases and a rising rate of myopia among youth, coupled with a significant shortage of ophthalmologists [1][2] AI Integration in Eye Health - AI technology is identified as a key driver for overcoming resource limitations, enhancing service efficiency, and enabling early detection and treatment of eye diseases [2][5] - Aier Eye Care has developed a comprehensive "five-in-one" AI smart hospital system covering the entire cycle of eye health services, from prevention to rehabilitation [5][12] Technological Advancements - The "ADP3.0 Intelligent Medical AI Platform" has been introduced, featuring capabilities for data governance, model training, and clinical validation, enhancing diagnostic accuracy and operational efficiency [8][11] - Aier Eye Care has established partnerships with institutions like the Chinese Academy of Sciences to advance research in imaging-assisted diagnosis and intelligent equipment [11][12] Ecosystem Development - The strategic white paper outlines a vision for building an "eye health ecosystem" through collaboration with various stakeholders, including medical device manufacturers, pharmaceutical companies, and research institutions [9][11] - Aier Eye Care's initiatives have led to the establishment of a robust clinical database and the recognition of its data governance practices as industry benchmarks [11][12]