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]