Xinhuanet Hangzhou, April 28 (Liu Ying) The current wave of artificial intelligence is sweeping all walks of life. Under this background, what opportunities and challenges are faced by the development of traditional Chinese medicine technology and talent training? Recently, at the 4th High-Quality Development Conference of Traditional Chinese Medicine held in Wuzhen, Zhejiang, many experts conducted in-depth discussions on this topic. Tian Jinzhou, a well-known Chinese medicine brain disease expert and academician of the Chinese Academy of Engineering, said in an interview with Xinhuanet that the development of traditional Chinese medicine in the AI ​​era requires "adhering to the integrity" and "innovation". Innovation is not only a systematic transformation of collaborative innovation in systems, science and technology, industries and talents.

Tian Jinzhou, Academician of the Chinese Academy of Engineering

The development of traditional Chinese medicine is the result of innovation and coordination

In the interview, Academician Tian Jinzhou traced back to the historical context of the development of Chinese medicine and pointed out that behind every medical progress is the result of innovation and coordination. For example, the epidemic in Jiangsu and Zhejiang areas in the late Ming Dynasty gave birth to Wu Youke's "Theory of Warm Epidemics". It broke through the traditional "six-class syndrome differentiation" theory of typhoid fever and proposed the theory of "harmfulness and disease", which became an important milestone in traditional Chinese medicine epidemic. By the Qing Dynasty, Ye Tianshi founded the "Wei Qi Ying Blood Syndrome" system, further enriching the theoretical system of traditional Chinese medicine. He stressed that these innovations are not the achievements of isolated individuals, but the crystallization of the wisdom of medical practitioners of all generations.

"Modern medicine faces the challenges of complex diseases brought by an aging society, and a single diagnosis and treatment model is difficult to meet medical needs. Taking elderly patients as an example, treating liver disease requires taking into account gastrointestinal function, and treating lung disease requires considering kidney correlation. This requires the integration of traditional Chinese and Western medicine, multidisciplinary collaboration, and using modern detection instruments and laboratory means to form a "coordinated combat" diagnosis and treatment system." Tian Jinzhou said that for this reason, he proposed the concept of "three same" (simultaneous with people's needs, same as academic consensus, and same frequency with scientific and technological development). In view of the particularity of the traditional Chinese medicine industry, it emphasizes that improving efficacy and safety guarantee through technological integration is of practical value. He emphasized that collaborative innovation is not only a technical integration, but also a breakthrough in thinking mode. Traditional Chinese medicine emphasizes the adjustment of physical concepts and dialectical treatment, while modern medicine focuses on precision and standardization. The combination of the two can not only give full play to the advantages of traditional Chinese medicine's original thinking, but also use Western medical technology to improve diagnosis and treatment efficiency.

AI empowers traditional Chinese medicine education to adhere to "moderate development" and "adaptive application"

Original Chinese medicine thinking is a key factor in the development and progress of traditional Chinese medicine. Traditional Chinese medicine education is very important for cultivating students' original Chinese medicine thinking. However, when making full use of AI in education, we must also be wary of the negative impact of excessive reliance on AI on innovative thinking and independent problem-solving ability.

Tian Jinzhou said that this view and principle is very important to adhere to the way of thinking of traditional Chinese medicine, carry out medical activities, and train them to use traditional Chinese medicine thinking to understand, deal with, and diagnose diseases. He took clinical teaching as an example to affirm the application potential of AI technology. Through AI simulation diagnosis and treatment processes, students can systematically master clinical examination, information collection and diagnostic analysis skills. For example, an AI model can generate standardized cases, requiring students to enter examination data and compare diagnostic results, thereby testing the accuracy and stability of their clinical thinking. Strengthen skills through simulation training and shorten the training cycle of medical students.

Regarding the impact of AI technology on students' innovative thinking, Tian Jinzhou said that traditional Chinese medicine education pays special attention to "original thinking" and "independent dialectical ability". If you rely entirely on standardized answers generated by AI, students are prone to fall into thinking patterns, weakening their analysis and judgment of complex diseases. He took the traditional Chinese medicine "cold and heat syndrome" as an example and pointed out that although AI can provide standard answers, it cannot replace doctors' careful observation and dynamic analysis of individual differences in patients, nor can it provide patients with necessary emotional support. In addition, we need to be vigilant about the reliability of AI-generated content. He emphasized that medical education should adhere to the principles of "moderate development" and "adaptive application" - technology needs to be accurately developed according to industry needs, and application scenarios need to be strictly limited. For example, the Da Vinci surgical robot was only suitable for urinary system surgery in the early stages because its parameter design was targeted. Similarly, the application of AI in traditional Chinese medicine education should focus on basic skills training rather than replace the cultivation of advanced clinical thinking.

Regarding the supervision of future AI technology, Academician Tian mentioned international experience, such as the consensus of the British Artificial Intelligence Security Summit, and my country's "Global Artificial Intelligence Governance Initiative" and advocated the "development and standardization" model. my country's AI regulatory policies are developing and improving, but open exploration and parallel strategies with moderate constraints are in line with the actual needs of domestic medical education development. He called on colleges and universities to balance efficiency and quality when introducing AI technology, and avoid blindly pursuing "technical iteration" and ignoring humanistic care and depth of thinking.

Taking historical experience as a mirror, integrating diverse resources through collaborative innovation; using technological empowerment as a wing, we explore adaptive application models in the field of traditional Chinese medicine in the AI ​​era. Tian Jinzhou said that whether it is the "collaborative combat" of the integration of traditional Chinese and Western medicine or the "moderate development" of AI education, its core lies in "adhering to the truth and innovation" - embracing technological changes and realizing the modern transformation of traditional wisdom on the basis of adhering to the original thinking and humanistic spirit of traditional Chinese medicine.

[Editor in charge: Sun Hui]