循证视角下数智中医广义望诊研究及相关装备研制思路

Digital and Intelligent Generalized Inspection in Traditional Chinese Medicine and Related Equipment Development from Evidence-based Perspective

摘要:

作为中医四诊之首，望诊及相关装备研制的现代化研究因证据质量参差、标准化缺失、算法透明度不足及决策可靠性和稳定性差，面临落地转化困难的挑战。在大数据、物联网、人工智能等新兴技术快速发展和国家宏观政策支持的背景下，数智中医广义望诊研究应运而生。该研究旨在通过数智技术，突破肉眼望诊局限，全面感知、分析人体头面及全身的神色形态望诊信息，智能关联中医脏腑功能与健康疾病转归，形成数智中医广义望诊装备及多维多模态望诊感知、融合分析及评价决策的技术体系，提高望诊对疾病风险预警、诊断性评价的准确性，弥合望诊装备难以有效辅助临床诊疗决策的鸿沟。该文在循证视角下系统审视数智中医广义望诊研究及相关装备研制思路，深入探讨在研究过程中如何基于循证医学原则，提出临床导向的关键科学问题、全面获取并协同应用多元多维数据、以数智驱动建立精准中医望诊模型、优化标准以提升装备的交互性与可靠性、构建后效评价机制以评价促提升，并积极应对智能化技术应用中可解释性差和信息安全方面的潜在风险。该文不仅展示了数智技术在提升望诊准确性和临床应用效率方面的巨大潜力，也为中医望诊技术面向现代化转型的路径提供了新的视角和思路，为全球医疗健康领域的应用开辟了广阔前景。

Abstract:

As the foremost among the four examinations in traditional Chinese medicine （TCM）， inspection and related equipment research face challenges in landing and transformation due to variations in evidence quality， lack of standardization， insufficient algorithm transparency， and poor reliability and stability of decision-making. Against the backdrop of rapid development of emerging technologies such as big data， the internet of things， and artificial intelligence， coupled with macro policy support from the government， digital and intelligent generalized inspection in TCM has emerged， with the aim of utilizing digital technologies to overcome the limitations of naked-eye inspection and comprehensively perceive and analyze facial and bodily expressions. The research in this field intelligently correlates Zang-fu organ functions with health conditions and disease progression and establishes a technical system for digital and intelligent inspection， multi-dimensional and multimodal perception， fusion analysis， and decision-making. This system aims to enhance the accuracy of disease risk warning and diagnosis， bridging the gap between inspection equipment and assistance in clinical decision-making. From an evidence-based perspective， this paper systematically examines the research ideas of digital and intelligent inspection and the development of related equipment， deeply explores how to propose clinical practice-oriented key scientific issues， comprehensively acquire and co-apply multi-dimensional data， establish precise inspection models driven by digital intelligence， optimize standards to enhance equipment interoperability and reliability， construct post-effect evaluation mechanisms to promote improvement， and actively address potential risks such as the black box nature and information security in the application of intelligent technology. This paper not only demonstrates the tremendous potential of digital technologies in improving the accuracy and clinical application efficiency of inspection but also provides new perspectives and ideas for the modernization of inspection in TCM， paving the way for the application of inspection in the global medical and health field.