长城基金“科技+” | 解码AI医疗：“政策红利+产业迭代”的战略配置机会

Core Insights - The core viewpoint of the article emphasizes the transformative potential of artificial intelligence (AI) in the healthcare sector, particularly through the recent policy document titled "Implementation Opinions on Promoting and Regulating the Application Development of 'Artificial Intelligence + Healthcare'" which outlines a clear development path for AI in healthcare by setting goals for 2027 and 2030 [1][7]. Policy and Development - The policy document identifies eight key application areas for AI in healthcare, including "AI + grassroots applications," "AI + clinical diagnosis," and "AI + patient services," marking a shift from encouraging exploration to practical implementation [1][5]. - The current stage of AI in healthcare is transitioning from technology validation to large-scale implementation and exploring business models, indicating a dynamic environment of rapid iteration and development [6][10]. Market Dynamics - The AI healthcare sector is entering a strategic configuration window, with valuations returning to reasonable levels and ongoing industrial advancements. The low current market attention suggests potential for significant upward movement once trends are confirmed [9][10]. - The document highlights the importance of establishing high-quality data sets and trustworthy data spaces, addressing the "data silo" issue that has hindered AI healthcare development [7][8]. Investment Considerations - Investment in AI healthcare should focus on growth perspectives, considering not only price-to-earnings (PE) ratios but also price-to-sales (PS) ratios and revenue growth rates. The sustainability of market trends relies on the visibility of future profitability rather than current earnings [2][11][13]. - Companies that provide integrated diagnostic solutions for grassroots healthcare, cloud-based AI services, and intelligent medical devices are likely to benefit from the policy's focus on enhancing quality and balancing resources [8][10]. Application and Technology - Current mature applications of AI in healthcare are primarily in the "assisted diagnosis" field, particularly in medical imaging, which has already achieved commercialization through regulatory approvals [7][10]. - The essence of AI in healthcare lies in its ability to mimic human logic and reasoning, enabling decision support rather than merely digitizing information, thus representing a qualitative leap from traditional medical information systems [4][6].