中医+AI，如何推动中医服务行业的数智化转型

Core Insights - The rapid development of large models in AI is drawing unprecedented attention to how AI can empower the healthcare industry, particularly in integrating traditional Chinese medicine (TCM) with AI technology [1] Group 1: Growth of TCM Clinics - The number of TCM clinics in China has surged to 82,200, an increase of nearly 12,000 from the previous year, marking a fourfold increase compared to the 3,000 clinics added in 2022 [2] - This growth is attributed to the increasing recognition of TCM among the public, although experts warn that this rapid expansion may be temporary and that clinics face challenges such as medical insurance cost control and centralized procurement [3] Group 2: Role of AI in TCM - AI is seen as a significant tool in the training of TCM practitioners, making it easier to cultivate qualified doctors [4] - Companies like Dajia TCM and Congbao Technology are exploring AI applications in TCM services, with Dajia TCM having launched an auxiliary diagnosis feature in 2017, which has enriched the usage scenarios for doctors [5] - Congbao Technology has collaborated with over 10,000 medical institutions, generating over 70 million prescriptions through its AI-assisted diagnosis system, which aims to enhance the capabilities of both doctors and hospitals [5] Group 3: Challenges in Data Utilization - Despite advancements, the integration of AI in TCM is still in its early stages due to the complexity of TCM theories and practices [6] - Data remains a significant challenge, with many aspects of TCM efficacy and evaluation still unclear, hindering the development of AI models [7][8] - The industry recognizes the need for modern scientific methods to clarify the principles of TCM and improve clinical efficacy through data-driven approaches [8] Group 4: Future Prospects - The application prospects of AI in the TCM industry are still highly anticipated, with expectations for new business models and improved service quality [9]