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《爱尔眼科AI战略白皮书》
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《爱尔眼科AI战略白皮书》发布:以AI重构眼健康生态,开启智慧医疗新范式
Xin Hua She· 2025-09-15 08:30
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]