“通用大模型微调成为行业模型是伪命题”？医疗 AI 深度重构，传神语联创始人何恩培：孪生智能体能砍 70% 线下复诊工作

Core Insights - The article discusses the evolving role of AI in the medical field, particularly in traditional Chinese medicine (TCM), highlighting the integration of AI technologies to enhance diagnostic and treatment processes [3][4][5] - It emphasizes the shift from traditional experience-based practices to data-driven approaches, with AI expected to play a crucial role in modernizing TCM and making it more accessible [29][30] AI in Healthcare - By the end of 2025, AI applications in healthcare are expected to achieve high penetration but remain superficially integrated, with a focus on practical performance rather than just model parameters [5][6] - AI's role in healthcare is expanding beyond single-task assistance to encompass multi-scenario and full-chain empowerment, particularly in drug development and patient management [7][8] TCM and AI Integration - The integration of AI in TCM is seen as a potential breakthrough area, with the development of digital twins of renowned TCM practitioners to enhance knowledge transfer and patient care [10][11] - The "Shuowen" model developed by the company is noted for its ability to replicate expert diagnostic reasoning, achieving a consistency rate of 95% in treatment recommendations [11][12] Challenges and Opportunities - The article identifies significant challenges in the adoption of AI in TCM, including skepticism from patients and practitioners regarding AI's reliability and the lack of regulatory frameworks for AI applications in healthcare [20][21] - Despite these challenges, the potential for AI to transform TCM practices is highlighted, particularly in enhancing the efficiency of healthcare delivery and improving patient outcomes [19][20] Future Directions - Looking ahead to 2026, the article predicts that AI will evolve into "scenario-based intelligent agents" that can assist in various aspects of TCM, including psychological health and wellness [24][25] - The focus will be on creating personalized health management solutions that integrate traditional practices with modern technology, aiming to provide continuous support to patients [28][29]