Overview of Artificial Intelligence Applications in Chinese Medicine Therapy

Feng, Chuwen; Zhou, Shuoyan; Qu, Yuanyuan; Wang, Qingyong; Bao, Shaowen; Yang, Li; Yang, Tiansong

doi:10.1155/2021/6678958

Cited by 23 publications

(16 citation statements)

References 23 publications

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“…This research also focuses on the urgency of developing treatment models using artificial intelligence technology, with the theme of "treating diseases before they occur". In addition, the study also discussed the main bottlenecks and future prospects of the development of intelligent TCM treatment strategies [7]. Jia Yawei and other researchers found that the laser speckle blood flow imaging system can greatly evaluate the changes of skin blood flow during physiotherapy.…”

Section: Plantar Acupoint Physiotherapy Technology and Application Fi...mentioning

confidence: 99%

Digital-Insole: An Interactive System of Foot Acupoint Physiotherapy for Office Workers

Yao

Lou

Ying

et al. 2023

Frontiers in Artificial Intelligence and Applications

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the pace of life and work is accelerating, and urban office workers are constantly affected by various rich and noble diseases, chronic diseases and civilized diseases. In order to prevent and treat some chronic diseases such as self-discomfort, fatigue, sluggish response, reduced vitality and adaptability, often in a state of anxiety, some dysfunctional diseases such as pain, poor blood supply and insomnia, and help office workers regulate the human endogenous system and accelerate blood circulation, this paper designs and develops an interactive system based on the plantar massage therapy in traditional Chinese medicine physiotherapy, It is named digital insole. The system consists of a pair of insoles with massage effect, external rechargeable battery hardware and an application program. In the application process of the system, the insole hardware and application program will give real-time data feedback according to the user’s massage duration, massage frequency, massage strength, massage acupoints and problem disease monitoring and other related actions and functions. in addition, the application will also display the relevant information of plantar acupoints, meridians and massage energy levels in the user’s use. We also conducted a preliminary user test of the digital insulin interactive system. The results showed that users showed high recognition in the process of participating in the design and use of the system, and paid more attention to the importance of plantar massage and their own health problems.

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Section: Plantar Acupoint Physiotherapy Technology and Application Fi...mentioning

confidence: 99%

Digital-Insole: An Interactive System of Foot Acupoint Physiotherapy for Office Workers

Yao

Lou

Ying

et al. 2023

Frontiers in Artificial Intelligence and Applications

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“…Babic et al, who apply artificial intelligence technology to medical-assisted treatment, suggested that regulators should better understand the relationship between consumers and medical artificial intelligence, especially the interaction method with diagnostic applications [5]. To assess the importance of artificial intelligence technology in the modernization of TCM treatment, Feng et al systematically reviewed the relevant literature in his article and explained the beneficial impact of artificial intelligence technology on TCM treatment outcomes [6]. Lan et al discussed the application of virtual reality technology in clinical medicine, especially in surgical training, pain management, and psychiatric treatment.…”

Section: Related Workmentioning

confidence: 99%

Application of Artificial Intelligence and Virtual Reality Technology in the Rehabilitation Training of Track and Field Athletes

Song¹,

Tuo²

2022

Wireless Communications and Mobile Computing

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The rapid improvement of the economic level has led to the prosperity of sports, and the rehabilitation training of athletes has also developed rapidly and has attracted widespread attention from all over the world. How to make track and field athletes quickly relieve the negative impact of sports injuries on the body during rehabilitation training is the most concerned issue in the field of sports medicine today. The traditional rehabilitation training cycle is long, and the rehabilitation effect is very small, which cannot fundamentally eliminate the injury and restore the athletes’ various physical functions and sports qualities to the original level. This article combines the latest artificial intelligence and virtual reality technology to analyze the causes and control strategies of athletes’ injuries and to understand the reasons for the injuries of track and field athletes in daily training and the various factors that affect their rehabilitation. And it was used in rehabilitation training practice and analyzed from four aspects: body shape, physical function, sports quality, and rehabilitation effect. The experimental results show that the rehabilitation training using artificial intelligence and virtual reality technology can make the athletes’ physical function recover more than 96%, and the overall average rehabilitation effect can reach 93.79 points, which is feasible to a certain extent. The application of artificial intelligence and virtual reality technology to the current stage of rehabilitation training can effectively improve the rehabilitation effect of track and field athletes.

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“…According to the National Health Interview Survey (NHIS) conducted in the United States, 33.2% of adults and 11.6% of children respond they use CAM, and 30% of the medical payments ($14.7 billion) were paid to CAM (Barnes et al, 2004;Barnes et al, 2008). AI is currently used for pattern diagnostics, symptoms classifications, and finding drug candidate substances in the CAM or traditional medicine fields (Zhang et al, 2020;Feng et al, 2021a;Alice et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

The Use of Artificial Intelligence in Complementary and Alternative Medicine: A Systematic Scoping Review

Chu¹,

Moon

Park

et al. 2022

Front. Pharmacol.

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Background: The development of artificial intelligence (AI) in the medical field has been growing rapidly. As AI models have been introduced in complementary and alternative medicine (CAM), a systematized review must be performed to understand its current status.Objective: To categorize and seek the current usage of AI in CAM.Method: A systematic scoping review was conducted based on the method proposed by the Joanna Briggs Institute. The three databases, PubMed, Embase, and Cochrane Library, were used to find studies regarding AI and CAM. Only English studies from 2000 were included. Studies without mentioning either AI techniques or CAM modalities were excluded along with the non-peer-reviewed studies. A broad-range search strategy was applied to locate all relevant studies.Results: A total of 32 studies were identified, and three main categories were revealed: 1) acupuncture treatment, 2) tongue and lip diagnoses, and 3) herbal medicine. Other CAM modalities were music therapy, meditation, pulse diagnosis, and TCM syndromes. The majority of the studies utilized AI models to predict certain patterns and find reliable computerized models to assist physicians.Conclusion: Although the results from this review have shown the potential use of AI models in CAM, future research ought to focus on verifying and validating the models by performing a large-scale clinical trial to better promote AI in CAM in the era of digital health.

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Overview of Artificial Intelligence Applications in Chinese Medicine Therapy

Cited by 23 publications

References 23 publications

Digital-Insole: An Interactive System of Foot Acupoint Physiotherapy for Office Workers

Digital-Insole: An Interactive System of Foot Acupoint Physiotherapy for Office Workers

Application of Artificial Intelligence and Virtual Reality Technology in the Rehabilitation Training of Track and Field Athletes

The Use of Artificial Intelligence in Complementary and Alternative Medicine: A Systematic Scoping Review

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