DIAN DIAGNOSTICS(SZ:300244) Xin Lang Cai Jing·2025-11-22 16:54Core Viewpoint - The article discusses the emergence of AI in the healthcare sector, highlighting how companies like Di'an Diagnostics are transitioning from traditional diagnostic services to AI-driven health management and solutions [3][6]. Strategic Layout - Di'an Diagnostics' AI development is structured in three phases: tool-based, platform-based, and ecosystem-based [4]. - The initial phase involves creating AI tools for medical diagnostics, such as the AI pathology software launched this year [3]. - The platform phase includes the launch of the Zhijian Lianyu platform, which integrates regional healthcare resources and addresses the interoperability of diagnostic results [4]. - The future vision is to build an open ecosystem that connects medicine, pharmaceuticals, patients, and diagnostics through AI [4]. Core Advantages - Data is identified as a critical barrier to entry in AI healthcare products, with Di'an accumulating 21PB of data and an annual increase of 1PB from self-testing services [5]. - The company has access to multimodal data from hospitals and public health data from regions like Chongqing, enhancing the quality of AI model training [5]. - Di'an's extensive offline service network, including 36 laboratories and over 800 collaborative centers, provides a competitive edge in commercializing AI solutions [5]. Commercialization Challenges - Di'an acknowledges the challenges in commercializing AI products, emphasizing the need for patience and the importance of demonstrating product value in clinical settings [6]. - Currently, the direct revenue from AI commercialization is in the tens of millions, indicating a gradual approach to market penetration [6]. - The company aims to transform data into compliant and efficient clinical products, positioning itself as both a technology service provider and a data-driven solution developer [6]. Conclusion - Di'an Diagnostics is actively embracing AI and adapting its business model to become a leader in intelligent diagnostic solutions, leveraging its data accumulation and clinical insights to navigate the evolving healthcare landscape [6].