Core Insights - The founder and chairwoman of the company participated in the World Economic Forum's 56th Annual Meeting, engaging in high-level discussions on the intelligent transformation of the healthcare industry and the role of AI in addressing global health challenges [1][3][5]. Group 1: AI and Healthcare Resilience - The company emphasized the importance of AI and big data in enhancing public health system resilience and addressing new health challenges driven by climate change [1]. - AI healthcare enterprises can leverage technology to monitor climate-sensitive disease trends and innovate chronic disease management, thereby improving societal health resilience [1]. Group 2: AI in Health Security - The company highlighted the critical role of AI in infectious disease monitoring, drug development, and health management during discussions on reconstructing health security [3]. - The use of federated learning and privacy computing technologies is being implemented to enhance data security while improving model training efficiency across regions [3]. Group 3: China's AI Healthcare Development - The company discussed China's unique advantages in AI healthcare, including rich application scenarios, an improving data ecosystem, and strong policy support [5]. - The global value of China's experience lies not only in technological breakthroughs but also in systematic implementation capabilities and efficient localization models [5]. Group 4: Global Collaboration and Innovation - The company is actively building and expanding its collaboration network through bilateral meetings with key stakeholders, including government officials and industry leaders [7]. - A significant partnership was announced with Novartis for a cardiovascular disease prevention project, showcasing the company's commitment to AI-driven healthcare solutions [7]. Group 5: Contribution to Global AI Healthcare Ecosystem - The company's presence at the forum underscored the role of new-generation Chinese tech entrepreneurs in contributing to global wisdom and fostering cross-sector collaboration for a resilient future [8].

Core Viewpoint - The long-term goal of medical AI is to build a comprehensive system covering the entire healthcare chain, with the industry still in its early development stage and vast future prospects [1][8]. Company Overview - Founded in 2014, the company has focused on "data intelligence and green healthcare," addressing supply chain and cost issues in the medical field, including aspects like physician time, pharmaceutical R&D, and insurance [2][11]. - The company has processed over 7 billion medical records, gaining valuable practical experience [2][11]. AI Applications and Ecosystem - The company has invested significantly in building an AI application ecosystem, including platforms for hospitals, diagnosis, and a "clinical doctor Copilot," aiming for an integrated architecture of "big data + big models + intelligent agents" [2][11]. - Approximately 70% of doctors in partnered hospitals use their created "intelligent agents" daily for various tasks, including data organization and patient management [3][11]. Drug Development and Insurance - The company assists pharmaceutical companies in new drug development through smart patient recruitment and workflow automation, focusing on AI Contract Research Organizations (CROs) [3][12]. - In the insurance sector, the company has participated in projects like Beijing Puhui Health Insurance and Shenzhen Huimin Insurance, aiming to reduce costs and expand coverage through AI [3][12]. Industry Development Stage - The medical AI industry is currently at a maturity level of "0.01" out of 100, primarily due to incomplete data in the physical world and the need for a deeper understanding of many diseases [4][13]. - The company anticipates exponential growth in the future, transitioning from linear accumulation to explosive growth as foundational work solidifies [4][13]. Global Expansion - The company is expanding its medical AI solutions to Southeast Asia and plans to enter the European market, emphasizing local partnerships due to the localized nature of healthcare [5][14]. - A health app launched in Brunei has reached nearly 90% population coverage, with daily user steps increasing from about 2,000 to 8,000 [5][14]. Industry Challenges and Value Creation - Each niche in the medical AI field presents challenges, requiring ongoing investment and refinement in areas like foundational models and medical knowledge graphs [6][15]. - The ability to create real value for clients is essential for sustainable development in the industry [7][16].