盈康生命董事兼总经理马安捷：让AI成为肿瘤管理的“第二医生”

Core Viewpoint - The company is transitioning from a traditional disease treatment model to a comprehensive health management approach, focusing on continuous care for cancer patients throughout their treatment journey [2][6]. Group 1: Strategic Upgrade - The strategic upgrade is driven by the combined factors of demand, capability, and industry trends, emphasizing the need for a continuous service chain from pre-diagnosis to post-treatment [2]. - The company aims to create a "personal AI doctor" for each cancer patient, utilizing an intelligent health management system to provide ongoing support and risk assessment [2][3]. Group 2: Product Functionality - The cancer health management intelligent system is designed with five capabilities: precise early screening, diagnostic intelligence, multidisciplinary treatment (MDT) support, home health management, and ecological linkage to external resources [3]. - The company emphasizes the integration of online and offline services to ensure continuous patient management rather than just providing online consultations [3][4]. Group 3: AI and Data Management - The company is developing a three-layer architecture for its AI system, which includes computational power, data governance, and interactive service engines to support continuous improvement and integration of external models [4]. - The focus is on creating a collaborative environment where AI assists but does not replace the physician's role in clinical decision-making, ensuring accountability and traceability in patient care [7][8]. Group 4: Ecosystem Collaboration - The company prioritizes ecosystem co-creation, collaborating with partners to integrate specialized capabilities in real medical scenarios rather than solely focusing on large model development [5]. - The relationship with Ant Health is clarified as non-competitive, with each entity focusing on different aspects of health management [5]. Group 5: Implementation and Challenges - The operational mechanism of the intelligent system is based on personalized health records and collaborative care between online and offline healthcare providers [6]. - The company aims to address key issues such as post-treatment management, emergency responses, and communication efficiency through proactive monitoring and risk assessment [6][8]. Group 6: Future Outlook - The company envisions packaging its platform capabilities and data governance models into replicable regional solutions to enhance access to quality cancer care [9]. - The ultimate goal is to provide patients with continuous and reassuring care, making technology a compassionate partner in health management [9].