An Experience of Inheriting and Innovating Traditional Chinese
Medicine
;
by Artificial Intelligence
Bo Zhang
1a
and Lina Meng
2b
1
Qingyang City Hospital of Chinese Medicine, Anorectal Department 2, Qingyang, Gansu, China
2
Qingyang City Hospital of Chinese Medicine, Bone Fracturel Department 1, Qingyang, Gansu, China
Keywords: AI, TCM, Inheriting and Innovating.
Abstract: In recent years, the Chinese government attaches great importance to the evolution of traditional Chinese
medicine(shorted for TCM)
;
, put forward the significant deployment of the national strategy of traditional
Chinese medicine, has made many significant policies to facilitate the healthy evolution of traditional Chinese
medicine. However, there are still many problems in the evolution of traditional Chinese medicine
;
, and it is
urgent to use modern information technology and scientific and technological means to inherit and innovative,
and promote the modernization and international evolution of TCM
;
. Artificial intelligence (shorted for AI)is
one of the three cutting-edge technologies in the 21st century. It has been widely used in many fields and
yielded fruitful results, providing technical support and historical opportunities for the evolution of TCM. AI
has been widely used in TCM
;
instruments, intelligent auxiliary systems, TCM prescriptions, Acupoints
compatibility, and "four diagnoses", etc., and has gained rich practical experience. To facilitate the evolution
of TCM
;
, it is necessary to comprehensively collect, deeply excavate and utilize big data information of TCM,
further strengthen the integration of AI diagnosis and cure, persist in inheriting innovation and highlighting
characteristics, and facilitate the evolution and practical application of TCM
;
theories.
1 INTRODUCTION
As Chinese unique health resources, economic
resources with great potential, scientific and
technological resources with original advantages,
brilliant
; cultural resources and significant ecological
resources, TCM acts a significant role in economic
and social evolution. As one of the countries with the
most serious aging in the world, Chinese aging has
brought about digestive diseases, cardiovascular and
cerebrovascular diseases, neurological diseases,
respiratory diseases and other common diseases of
the elderly, which have facilitated the people's urgent
need for TCM health services. How to inherit,
innovate, revitalize and develop TCM science, and
make it act a more active role in deepening the reform
of the medical and health system and bringing
benefits to human health is a major historical mission
of theoretical researchers and practitioners of TCM.
a
https://orcid.org/0000-0002-0821-2361
b
https://orcid.org/0000-0002-3342-0250
In recent years, the Chinese government payed
high attention to
; the evolution of TCM, formulated
the law of Chinese medicine, the "healthy China
2030" planning outline ", " much starker choices and
graver consequences-in planning evolution of
Chinese medicine" and "strategic plan for evolution
of Chinese medicine (2016-2030)",
informationization, standardization and
internationalization have been deployed. The
proposal of the national strategy of TCM and its
remarkable efficacy in the prevention and cure of
common, frequent, chronic and stubborn disease and
major infectious diseases, especially the coVID-19
outbreak in early 2020, have made TCM more and
more widely recognized by the international
community. However, we must also admit that there
are many problems in TCM, such as lack of high-
level talents, low industry concentration, lack of
evolution momentum and innovation motivation,
many international constraints, limited international
Zhang, B. and Meng, L.
An Experience of Inheriting and Innovating Traditional Chinese Medicine by Artificial Intelligence.
DOI: 10.5220/0011234200003444
In Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare (CAIH 2021), pages 181-186
ISBN: 978-989-758-594-4
Copyright
c
2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
181
competitiveness (Tian 2015). It is urgent to use
modern information technology and scientific and
technological means to keep innovation and facilitate
modernization and international evolution of TCM.
2 THE PRACTICAL
SIGNIFICANCE OF
UPGRADING TCM BY AI
AI is one of the three most advanced technologies in
the world since the 1970s, and also one of the three
most advanced technologies in the 21st century. As a
significant result of the new round of scientific and
technological and industrial revolution, AI has been
widely used in many disciplines and has yielded
fruitful results and successful experience. TCM, as
one of the quintessence of China, needs a lot of
knowledge accumulation and clinical experience.
The cure method is person-specific. The material plan
is one for one patient, one disease for one patient, the
same disease for different cure, and different diseases
for the same cure. The promotion of AI provides
technical support and historical opportunity for the
evolution of TCM. First, AI could help facilitate the
information-based evolution of TCM. For thousands
of years, Chinese medicine research has established
an extremely large and orderly map of Chinese
medicine knowledge, but how to further facilitate the
evolution of Chinese medicine through the mining of
data value is a significant topic. The emergence of the
Internet, especially the arrival of the era of big data,
provides a rare opportunity for the informatization of
Chinese and Western medicine. AI has a unique
advantage in exploring tacit knowledge of TCM. At
present, AI supported by big data has been widely
used in the medical field. Intelligent auxiliary
systems such as medical image, voice recognition,
patient care and disease diagnosis have been widely
facilitated and used in large and medium-sized
hospitals. However, in general, the extension of AI to
TCM research depth is not enough, the application
field is not wide enough, need to further in-depth
research and exploration and practice. Second, AI
could help promote the inheritance and evolution of
TCM. It can be said that TCM in the inheritance,
promotion and application, revitalization and
evolution of large pain points and difficulties. In
general, the inheritance of famous TCM mainly
depends on the inheritance of schools or clinical
practice. Such inheritance mode has a long cycle,
cannot be copied, and is difficult to popularize and
apply. AI can effectively solve these problems. It can
integrate the diagnosis and cure thought, syndrome
differentiation logic and prescription experience of
well-known old Chinese medicine doctors, form an
online learning and auxiliary diagnosis and cure
system, improve the medical ability of general
doctors, improve the level of disease diagnosis and
cure in grassroots hospitals, and help the inheritance
and application of TCM. Third, AI culd help facilitate
the intellectualization of TCM diagnosis and cure.
Diagnosis and cure is the core of medicine. The
diagnostic process of TCM generally requires
information collection through observation, listening,
asking and cutting, differentiation of symptoms and
signs based on four diagnostic methods, and
formulation of prescription by the emperor and the
minister. The process is long, with a large amount of
information processing and strong dependence on
experience, which is not easy to inherit and learn.
However, with the use of AI, general physicians can
achieve standardized cure through information
collection and network, and provide scientific cure
plan by simulating the cure mode of differentiation of
symptoms and signs of famous doctor of Chinese
medicine through AI. Therefore, AI is a significant
tool to enlarge the productivity of TCM and a
significant starting point for the intelligent evolution
of TCM.
3 APPLICATION AND PRACTICE
OF AI IN CHINESE MEDICINE
AND PHARMACY
3.1 Application and Practice of AI in
Chinese Medicine Instruments
"Chinese medicine four diagnosis instrument" is a
great invention in the realm of AI, it is a blend of a
large number of advanced scientific and
technological achievements and numerous clinical
experience of TCM experts, can provide objective
TCM diagnosis information collection and analysis,
the combination of qualitative and quantitative health
status identification, health intervention adjustment
suggestion, efficacy evaluation of TCM, and slow
disease management covering different levels of the
medical and preventive health care system of
technical services, acts an extremely significant role
in realizing the transformation of TCM to modern
Chinese medicine. The principle of treating diseases
with Chinese medicine four diagnosis instrument
shows Figure 1. In recent years, foreign countries
attach great importance to the research and evolution
CAIH 2021 - Conference on Artificial Intelligence and Healthcare
182
and production of TCM four diagnostic instruments.
South Korea, Japan and other Asian countries have
invested a lot of human and material resources to
develop TCM and four-diagnostic instruments. South
Korea has successfully developed a portable tongue
instrument for health detection for families, invested
more in the evolution of four-diagnostic instruments
for Korean doctors, and Japan has successfully trial-
produced a pneumatic pulsar instrument for clinical
use. Our country also developed the remote medical
cure of TCM, mobile health, wisdom, health and
other new type of medical service mode, explore the
practice of internet extends the doctor's advice, the
electronic prescription of TCM health service such as
network, facilitate the internet technology cure and
waiting to remind online booking report query,
accurately capture to expend, diagnosis and cure,
drug delivery and convenient services, actively build
a collection of medical imaging, inspection report and
other health records in the integration of medical
information sharing service system, and gradually
establish a cross hospital of TCM health data sharing
interchange standard system.
Figure 1: the principle of treating diseases with Chinese medicine four diagnosis instrument
3.2 Application and Practice of AI in
Tongue Diagnosis
In terms of tongue image acquisition, in order to
avoid the influence of external light environment, a
spherical diffuse reflection black box was designed
(Shen 2007), in which light enters through the
opening of the integrating sphere box and diffuses
through the inner wall of the integrating sphere for
several times, so as to generate more uniform light on
the tongue body. Since the tongue image acquired is
greatly affected by the tongue posture, an automatic
acquisition system was designed to capture complete
tongue image information (Lv 2016). In the choice of
light source, the traditional tongue diagnosis requires
sufficient and soft natural light source, but due to the
season, time, weather and other reasons, the ideal
light source is always available. Therefore, the
International Lighting Commission proposed the
standard illumination body D65 to simulate the
typical sunlight, the standard light source D50 was
proposed (Shi 2004), suggested the use of green
lighting to improve the separation of tongue coating
and the recognition effect of point sting, and the use
of ring flash was proposed to improve the shooting
environment (Wu 2011).In the aspect of tongue
image preprocessing, because the illumination
environment under standard light source cannot be
completely simulated at present, different artificial
light sources are restricted by color temperature,
color rendering property, spectral continuity and
other factors, tongue image has color difference more
or less. Hardware correction requires manual white
balance according to the change of lighting
environment, while software correction is not only
accurate color restoration, but also more convenient
for clinical collection, which is conducive to practical
operation (Xu 2009). Median filtering could
effectively protect image edge information while
denoising, and it would be a better denoising method
in tongue image processing (Zhang 2017). Median
filtering was a smoothing method applicable to gray
images, which needed to convert tongue images into
gray images for processing, while mean shift rule
could be directly used to color images, with small
calculation amount and good processing effect. In
Core:Therapy
(Knowledge
optimize)
concrete content
Liver resolve
depression
Regulating breath
Resolving phlegm
……
Core:Syndrome
(Information processing)
concrete content
Liver-Qi Depression
Qi-depression
transforming into fire
Phlegm Depression
……
Core:Characterization
(Valid data)
concrete content
Palpitations
Shortness of breath
chest
Distressanorexia
……
Core:ontology
(Display of true signs)
concrete content
Breathing
Blood
Tongue
Liquid
……
TCM Data TCM Information TCM Knowledge TCM Wisdom
An Experience of Inheriting and Innovating Traditional Chinese Medicine by Artificial Intelligence
183
order to remove the face, lips, teeth and other parts of
the image (Lv 2016), the model of Snakes to split the
tongue was used (Wang 2003, Jain 1996, Qin 2010),
HIS space conversion of the image was proposed
(Zhao 1999), while other people proposed the
splitting and merging method (Wang 2005).
3.3 Application and Practice of AI in
Chinese Medicine Prescription
The prescriptions of traditional Chinese medicine on
the feasibility of constructing intelligent computing
model is analyzed(Ren 2012), the realization of key
technology points were summed up, on the basis of
set up intelligence technology platform, design the
strict treatment prescriptions of traditional Chinese
medicine model, determines the prescription data
source, data preprocessing, prescription treatment
prescriptions and data modeling test, the system
debugging and the result analysis and so on. The
framework of TCM prescription analysis system
based on the existing TCM prescription data
resources and TCM prescription analysis system was
proposed (Zhu 2014), which supported by
information methods and technologies such as
artificial intelligence data mining and centering on
TCM prescription data. An in-depth investigation of
the application of artificial intelligence senses such as
electronic tongue, electronic nose, electronic eye,
electronic ear and electronic skin in the field of TCM
was made (Liu 2016), and their applications of
qualitative and quantitative identification of TCM,
drug quality control, processing process evaluation
were widely introduced. The feasibility of horizontal
combination of artificial intelligence sensory multi-
technology and vertical combination of modern
analytical technology in pharmaceutical field was
analyzed.
3.4 Application and Practice of AI in
Acupoints Compatibility
A management system of TCM acupoints
compatibility was designed and developed (Liu
2016), and the law of TCM acupoints compatibility
through AI was revealed. Firstly, she analyzes the
existing database and completed the TCM
acupuncture points management system requirements
analysis, summarizes the primary insomnia and
gastroparesis two diseases of optimization, and
compatibility of the law to obtain the most suitable
for intelligent optimization algorithm of map
acupoints compatibility of the law, through the
acupoints compatibility of TCM management system
of gastroparesis and the simple processing of the data
of primary insomnia, provide accurate data for
Chinese medicine acupoints compatibility relation
graph. The apriori algorithm is used to generate
frequent item sets, support degree and confidence
degree of acupoints compatibility, forming
association rules. The apriori algorithm is further
optimized and the Apriori-GA algorithm model of
TCM acupoint compatibility management system is
established. Secondly, combining the practical
application of TCM acupoints compatibility
management system with the theoretical knowledge
of Apriori-GA algorithm, the software package was
written by MATLAB. Based on the data of
gastroparesis and primary insomnia in the TCM
acupoints compatibility management system,
association rules were generated and MCODE
algorithm was integrated to develop the TCM
acupoints compatibility relation map drawing system.
Finally, through continuous testing and improvement,
the system can draw the relationship map of TCM
acupoints compatibility.
3.5 Application and Practice of AI in
"Four Diagnoses"
Some people deeply studied the practice and practice
of advanced information technology in the "four
diagnosis" of TCM (Long 2019, Gao 2007, Tian
2010, Yan 2009). First, in the realm of biomedical
engineering, face recognition technology and iris
recognition technology are relatively mature. In the
future, they will be gradually used as scientific
research tools in the realm of TCM diagnostics, with
extensive application fields. The facial image
tracking model and skin color tracking model are
simple and effective. The eigenvector method is
effective in determining the size, position, distance,
Angle and other attributes of the facial contour of iris,
nasal wing, and muzzle Angle, analyzing the
corresponding geometric features, and distinguishing
the iris changes of various patients. Second, the
electronic stethoscope technology is an effective
assistant to the aural diagnosis of TCM. Through the
comparison and analysis with human olfaction and
chemical examination, the electronic nose technology
can realize the real-time control of olfaction well.
Thirdly, intelligent sensor technology can realize
digital medical diagnosis of TCM palpation and
obtain more accurate pulse diagnosis information.
Fourth, modern information technology is more
objective and comprehensive to patients' disease
status, evolution trend, past medical history, living
habits.
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4 SUGGESTIONS ON AI TO
FACILITATE THE EVOLUTION
OF CHINESE MEDICINE
4.1 Strengthening the Integration of AI
Diagnosis and Cure
AI is an essential tool to assist the research and
application of TCM. It has a broad prospect in the
realm of productivity expansion and TCM promotion.
To strengthen the combination of TCM and AI,
according to the characteristics of the evolution of
TCM, find the entry point for the combination of AI,
research and design more AI achievements in TCM
registration, diagnosis and cure, remote diagnosis and
cure, late tracking and other aspects, to achieve a
further integration of the two.
4.2 Comprehensively Collect, Deeply
Dig, Develop and Utilize TCM Big
Data Information
Big data is the basis and technical support to facilitate
the AI of TCM. To increase the experience of TCM,
books, and clinical case using big data collection,
analysis and mining, through the release of artificial
AI diagnosis and cure of pressure, reduce artificial
arbitrariness of diagnosis and cure, make the whole
process of TCM diagnosis and cure standard and AI
system, and realize the single function of TCM
diagnosis and cure to focus on the medical diagnosis
and cure and service, health information collection
and evaluation guidance, health warning and
reminder, multi-function, form a diversified clinical
data, to better serve patients and facilitate
modernization and internationalization of TCM to
provide support.
4.3 Inheriting Innovation and
Highlighting Characteristics,
Promoting the Evolution of TCM
Theories and Their Practical
Application
Inheritance, innovation is the foundation of all work
of traditional Chinese medicine, we must insist on
and upgrade TCM characteristic advantage, adhere to
the original thinking of TCM, make full use of
modern science and technology and method,
facilitate the evolution of TCM theory and practice,
promote the modernization of TCM, constantly form
new features and new advantages in innovation, new
generation of Chinese medicine forever.
5 CONCLUSIONS
The birth and development of computer technology
and artificial intelligence technology make medical
intelligent diagnosis and treatment service possible,
and its application value has been recognized by the
majority of medical workers. Driven by the concept
of precise, minimally invasive, curing causes, with
the maturity and development of "big data, artificial
intelligence, mobile Internet, cloud computing,
Internet of things, block chain", artificial intelligence
will further profoundly change the face of the future
medical wisdom, become a indispensable right-hand
man, make a significant contribution to the diagnosis
and treatment for various diseases.
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