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人工智能时代中医医生面临的机遇与挑战

Opportunities and challenges of traditional Chinese medicine doctors in the era of artificial intelligence.

作者信息

Li Wenyu, Ge Xiaolei, Liu Shuai, Xu Lili, Zhai Xu, Yu Linyong

机构信息

School of Marxism, Capital Normal University, Beijing, China.

Wangjing Hospital of China Academy of Traditional Chinese Medicine, Beijing, China.

出版信息

Front Med (Lausanne). 2024 Jan 11;10:1336175. doi: 10.3389/fmed.2023.1336175. eCollection 2023.

DOI:10.3389/fmed.2023.1336175
PMID:38274445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10808796/
Abstract

With the exponential advancement of artificial intelligence (AI) technology, the realm of medicine is experiencing a paradigm shift, engendering a multitude of prospects and trials for healthcare practitioners, encompassing those devoted to the practice of traditional Chinese medicine (TCM). This study explores the evolving landscape for TCM practitioners in the AI era, emphasizing that while AI can be helpful, it cannot replace the role of TCM practitioners. It is paramount to underscore the intrinsic worth of human expertise, accentuating that artificial intelligence (AI) is merely an instrument. On the one hand, AI-enabled tools like intelligent symptom checkers, diagnostic assistance systems, and personalized treatment plans can augment TCM practitioners' expertise and capacity, improving diagnosis accuracy and treatment efficacy. AI-empowered collaborations between Western medicine and TCM can strengthen holistic care. On the other hand, AI may disrupt conventional TCM workflow and doctor-patient relationships. Maintaining the humanistic spirit of TCM while embracing AI requires upholding professional ethics and establishing appropriate regulations. To leverage AI while retaining the essence of TCM, practitioners need to hone holistic analytical skills and see AI as complementary. By highlighting promising applications and potential risks of AI in TCM, this study provides strategic insights for stakeholders to promote the integrated development of AI and TCM for better patient outcomes. With proper implementation, AI can become a valuable assistant for TCM practitioners to elevate healthcare quality.

摘要

随着人工智能(AI)技术呈指数级发展,医学领域正在经历一场范式转变,给包括中医从业者在内的医疗保健从业者带来了诸多机遇和挑战。本研究探讨了人工智能时代中医从业者不断变化的格局,强调虽然人工智能可能有所帮助,但它无法取代中医从业者的角色。强调人类专业知识的内在价值至关重要,突出人工智能仅仅是一种工具。一方面,智能症状检查器、诊断辅助系统和个性化治疗方案等人工智能工具可以增强中医从业者的专业知识和能力,提高诊断准确性和治疗效果。西医与中医之间由人工智能推动的合作可以加强整体护理。另一方面,人工智能可能会扰乱传统的中医工作流程和医患关系。在拥抱人工智能的同时保持中医的人文精神需要坚持职业道德并制定适当的规定。为了在保留中医精髓的同时利用人工智能,从业者需要磨练整体分析技能,并将人工智能视为一种补充。通过突出人工智能在中医中的应用前景和潜在风险,本研究为利益相关者提供了战略见解,以促进人工智能与中医的融合发展,从而实现更好的患者治疗效果。通过适当的实施,人工智能可以成为中医从业者提高医疗质量的宝贵助手。

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本文引用的文献

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AI Alone Will Not Reduce the Administrative Burden of Health Care.仅靠人工智能无法减轻医疗保健的行政负担。
JAMA. 2023 Dec 12;330(22):2159-2160. doi: 10.1001/jama.2023.23809.
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[Legal integration of artificial intelligence into internal medicine : Data protection, regulatory, reimbursement and liability questions].[人工智能在医学内科中的合法整合:数据保护、监管、报销及责任问题]
Inn Med (Heidelb). 2023 Nov;64(11):1044-1050. doi: 10.1007/s00108-023-01598-8. Epub 2023 Oct 20.
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Patient first; person first.患者至上;以人为本。
Lancet Oncol. 2023 Oct;24(10):1053. doi: 10.1016/S1470-2045(23)00465-5.
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Electronic Health Records Failed to Make Clinicians' Lives Easier-Will AI Technology Succeed?电子健康记录未能让临床医生的生活更轻松——人工智能技术会成功吗?
JAMA. 2023 Oct 24;330(16):1509-1511. doi: 10.1001/jama.2023.19138.
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Use of artificial intelligence large language models as a clinical tool in rehabilitation medicine: a comparative test case.人工智能大语言模型在康复医学中的临床应用工具:一个对比测试案例。
J Rehabil Med. 2023 Sep 11;55:jrm13373. doi: 10.2340/jrm.v55.13373.
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AI in Medicine-JAMA's Focus on Clinical Outcomes, Patient-Centered Care, Quality, and Equity.医学中的人工智能——《美国医学会杂志》对临床结果、以患者为中心的护理、质量和公平性的关注。
JAMA. 2023 Sep 5;330(9):818-820. doi: 10.1001/jama.2023.15481.
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Advances in the Application of Traditional Chinese Medicine Using Artificial Intelligence: A Review.人工智能在中医药应用中的进展:综述。
Am J Chin Med. 2023;51(5):1067-1083. doi: 10.1142/S0192415X23500490. Epub 2023 Jul 7.
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Intelligent Chinese Medicine: A New Direction Approach for Integrative Medicine in Diagnosis and Treatment of Cardiovascular Diseases.智能中医:整合医学在心血管病诊疗中的新方向。
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