聚焦2026河北两会·两会声音｜李挥代表：打造应用场景，推动“中医药+AI”创新发展

Core Viewpoint - The integration of artificial intelligence (AI) with traditional Chinese medicine (TCM) is essential for enhancing research methodologies and driving innovation in the industry, leveraging the province's advantages in computing power, industrial foundation, and market potential [3][4]. Group 1: Challenges in AI and TCM Integration - The current diversity in brands and models of TCM diagnostic equipment in local medical institutions leads to inconsistencies in data formats for tongue, face, and pulse diagnostics, hindering the effective training of high-quality AI models [3]. - The lack of standardized data collection methods prevents the full utilization of intelligent technologies in addressing the complexities of TCM research [3]. Group 2: Recommendations for Development - It is suggested to establish a comprehensive TCM health management network that spans medical institutions, communities, and households, focusing on standardizing basic data collection [4]. - The creation of an AI service platform for research, medical, and industrial institutions is recommended, which would provide standardized data interfaces, algorithm models, and computing power support to facilitate rapid development and iteration of TCM AI applications [4]. - Developing a large model for TCM prescription screening is proposed, optimizing the composition of prescriptions under the goals of maximizing efficacy, minimizing toxicity, and reducing costs [4]. - Enhancing AI-assisted review and approval processes, as well as establishing a credit evaluation system for TCM enterprises, is crucial for improving the quality and efficiency of drug approval and risk management [4].