Feasibility and Challenges of Interactive AI for Traditional Chinese Medicine: An Example of ChatGPT

被引:1
作者
Kong, Qi [1 ,2 ]
Chen, Liming [3 ]
Yao, Jingyi [1 ]
Ding, Chao [1 ]
Yin, Peihao [1 ,2 ]
机构
[1] Shanghai Univ Tradit Chinese Med, Putuo Hosp, Shanghai 200062, Peoples R China
[2] Shanghai Univ Tradit Chinese Med, Intervent Canc Inst Chinese Integrat Med, Shanghai 200062, Peoples R China
[3] Shanghai Univ Tradit Chinese Med, Yueyang Hosp Integrated Tradit Chinese & Western M, Shanghai 200082, Peoples R China
关键词
Traditional Chinese medicine; Artificial intelligence; ChatGPT; ARTIFICIAL-INTELLIGENCE;
D O I
10.1097/MC9.0000000000000103
中图分类号
N09 [自然科学史]; B [哲学、宗教];
学科分类号
01 ; 0101 ; 010108 ; 060207 ; 060305 ; 0712 ;
摘要
As a complementary and alternative medicine (CAM), traditional Chinese medicine (TCM) represents an established medical system with a rich history and abundant clinical experience. TCM is an empirical medicine, the process of which is analogous to ChatGPT's learning and development model. In TCM, inquiry is a relatively objective way of traditional syndrome differentiation. Although various artificial intelligence systems related to TCM consultation exist, their interactive abilities remain limited. The study standardized the primary complaint and instructed ChatGPT to simulate a TCM practitioner, conducting three comprehensive inquiry tests. The results yielded unexpected conclusions, revealing that ChatGPT could simulate a TCM practitioner's inquiry with patients, confirming its potential in the field of TCM inquiry. However, current applications still pose certain limitations and risks. Hence, to integrate ChatGPT-like language models with traditional TCM AI to establish an associative mode that can facilitate TCM diagnosis and treatment with more convenience and standardization is crucial, yet at the same time, it should be treated very carefully.
引用
收藏
页码:174 / 181
页数:8
相关论文
共 31 条
  • [11] Evaluating large language models on a highly-specialized topic, radiation oncology physics
    Holmes, Jason
    Liu, Zhengliang
    Zhang, Lian
    Ding, Yuzhen
    Sio, Terence T.
    McGee, Lisa A.
    Ashman, Jonathan B.
    Li, Xiang
    Liu, Tianming
    Shen, Jiajian
    Liu, Wei
    [J]. FRONTIERS IN ONCOLOGY, 2023, 13
  • [12] Hu HC., 2021, Chinese Folk Therapies, V29, P90
  • [13] Kung Tiffany H, 2023, PLOS Digit Health, V2, pe0000198, DOI 10.1371/journal.pdig.0000198
  • [14] Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
    Lee, Peter
    Bubeck, Sebastien
    Petro, Joseph
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2023, 388 (13) : 1233 - 1239
  • [15] Li YY., 2019, Journal of Traditional Chinese Medicine, V25, P139
  • [16] Lin DD., 2021, AI:
  • [17] Luo RJ., 2014, Lishizhen Medicine and Materia Medica Research, V25, P1797
  • [18] Luo ZP., 2020, dissertation
  • [19] OpenAI, ChatGPT: optimizing language models for dialogue
  • [20] Ouyang L, 2022, ADV NEUR IN