Core Insights - The article emphasizes the critical role of artificial intelligence (AI) in addressing the dual challenges of rising myopia rates among youth and increasing age-related eye diseases globally [1][2] - Aier Eye Hospital has launched the "Aier Eye AI Strategic White Paper," outlining a vision for creating a more compassionate AI-driven healthcare system [1][4] Group 1: AI's Role in Eye Health - AI is expected to integrate complex data from multiple sources, transforming it into a replicable and scalable diagnostic knowledge system [2] - The technology aims to enhance the capabilities of primary care physicians, making healthcare services more equitable and improving patient experiences through intelligent interactions [2][9] Group 2: Innovations and Applications - Aier Eye Hospital has developed a complete innovation loop in AI, covering data, technology, application, and ecosystem, with significant achievements in clinical applications [3] - The hospital's AI management system utilizes deep learning to analyze retinal images and identify over ten eye diseases, while a mobile app allows users to assess eyelid lesions [3][5] Group 3: Strategic Framework - The strategic framework outlined in the white paper focuses on integrating "warmth" into AI applications, moving beyond mere efficiency [5][8] - AI tools are designed to facilitate patient education, assist in diagnosis, and enhance follow-up care, embodying a patient-centered approach [7][8] Group 4: Value Reconstruction - The white paper identifies six core areas for value reconstruction, including proactive health management, personalized treatment paths, and improved operational efficiency for healthcare providers [8][9] - AI is positioned as a key variable in revitalizing the eye health ecosystem, promoting equitable access to quality care [9][10] Group 5: Collaborative Responsibility - Aier Eye Hospital's chairman views the white paper as an open invitation for collaboration, emphasizing the importance of shared responsibility in advancing AI applications in eye health [11] - The hospital aims to leverage its extensive data resources and application scenarios to foster sustainable development in the eye health ecosystem [11]

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]