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].
直击达沃斯｜对话医渡科技宫如璟：生命科学是星辰大海，医疗AI仍处早期