Zhang Junjie, Su Qingning, Loudon William G, Lee Katherine L, Luo Jane, Dethlefs Brent A, Li Shengwen Calvin
School of Physical Training and Physical Therapy, Shenzhen University, 3688 Nanhai Avenue, Nanshan District, Shenzhen 518060, China.
Center of Bioengineering, School of Medicine, Shenzhen University, 3688 Nanhai Avenue, Nanshan District, Shenzhen 518060, China.
J Funct Morphol Kinesiol. 2019 Dec;4(4). doi: 10.3390/jfmk4040071. Epub 2019 Dec 3.
Rising concerns about the short- and long-term detrimental consequences of administration of conventional pharmacopeia are fueling the search for alternative, complementary, personalized, and comprehensive approaches to human healthcare. Qigong, a form of Traditional Chinese Medicine, represents a viable alternative approach. Here, we started with the practical, philosophical, and psychological background of Ki (in Japanese) or Qi (in Chinese) and their relationship to Qigong theory and clinical application. Noting the drawbacks of the current state of Qigong clinic, herein we propose that to manage the unique aspects of the Eastern 'non-linearity' and 'holistic' approach, it needs to be integrated with the Western "linearity" "one-direction" approach. This is done through developing the concepts of "Qigong breathing signatures," which can define our life breathing patterns associated with diseases using machine learning technology. We predict that this can be achieved by establishing an artificial intelligence (AI)-Medicine training camp of databases, which will integrate Qigong-like breathing patterns with different pathologies unique to individuals. Such an integrated connection will allow the AI-Medicine algorithm to identify breathing patterns and guide medical intervention. This unique view of potentially connecting Eastern Medicine and Western Technology can further add a novel insight to our current understanding of both Western and Eastern medicine, thereby establishing a vitality score index (VSI) that can predict the outcomes of lifestyle behaviors and medical conditions.
人们对传统药典用药的短期和长期有害后果日益担忧,这促使人们寻求替代的、补充性的、个性化的和全面的人类医疗保健方法。气功作为中医的一种形式,是一种可行的替代方法。在此,我们从气(日语中的Ki或中文中的Qi)的实践、哲学和心理背景及其与气功理论和临床应用的关系入手。注意到当前气功临床现状的弊端,我们在此提出,为了管理东方“非线性”和“整体”方法的独特方面,需要将其与西方的“线性”“单向”方法相结合。这是通过开发“气功呼吸特征”的概念来实现的,该概念可以利用机器学习技术定义与疾病相关的生命呼吸模式。我们预测,这可以通过建立一个人工智能(AI)医学训练营数据库来实现,该数据库将类似气功的呼吸模式与个体特有的不同病理情况整合在一起。这种整合的联系将使AI医学算法能够识别呼吸模式并指导医疗干预。这种将东方医学与西方技术潜在联系起来的独特观点,可以进一步为我们目前对西医和中医的理解增添新的见解,从而建立一个可以预测生活方式行为和医疗状况结果的活力评分指数(VSI)。