Core 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].

Core Viewpoint - The article discusses the transition of Di'an Diagnostics from a traditional "product + service" provider to a leader in intelligent diagnostic solutions, emphasizing the role of AI in healthcare management, drug development, and commercial health products [2][3]. Strategic Layout - Di'an Diagnostics' AI development is structured in three phases: tool-based, platform-based, and ecosystem-based. The initial phase involves developing AI tools for medical diagnostics, such as the AI pathology software for cervical cell image processing [3]. - The platform phase includes the launch of the Smart Inspection Linkage Platform, which integrates medical resources and addresses the challenge of mutual recognition of test results [3]. - The future vision is to create an ecosystem that deeply engages in AI applications across medicine, pharmaceuticals, and patient diagnostics [3]. Core Advantages - Data is identified as the core barrier for AI medical products, with Di'an accumulating 21PB of data and an annual increase of 1PB from self-testing operations. This extensive data foundation supports sustainable and compliant AI applications [5]. - The company boasts a large offline service network, including 36 laboratories and over 800 collaborative centers, which enhances its competitive edge in commercializing AI solutions [5]. Commercialization Challenges - Di'an acknowledges the challenges in commercializing AI products, particularly in securing dedicated funding from hospitals. The strategy focuses on demonstrating product value before widespread clinical adoption, especially in tertiary hospitals [5][6]. - Currently, Di'an's direct revenue from AI commercialization is in the tens of millions, indicating a cautious yet optimistic approach to monetizing AI technologies [6]. Conclusion - Di'an Diagnostics is committed to embracing AI and evolving its industry structure, positioning itself as a builder of ecosystems rather than just a technology service provider. The company is exploring a transformative path from a diagnostic service provider to a leader in intelligent solutions [6].