The Impact of Artificial Intelligence on Traditional Chinese Medicine

Publication type:
Journal article
Metadata:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000677950800002&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1142/S0192415X21500622
eISSN
1793-6853
Externe Identifier
  • Clarivate Analytics Document Solution ID: TP9ZS
  • PubMed Identifier: 34247564
ISSN
0192-415X
Ausgabe der Veröffentlichung
06
Zeitschrift
AMERICAN JOURNAL OF CHINESE MEDICINE
Schlüsselwörter
  • Artificial Intelligence
  • Diagnostics
  • Machine Learning
  • Traditional Chinese Medicine
  • Review
Paginierung
1297 - 1314
Datum der Veröffentlichung
2021
Status
Published
Titel
The Impact of Artificial Intelligence on Traditional Chinese Medicine
Sub types
  • Article
Ausgabe der Zeitschrift
49

Data source: Web of Science (Lite)

Other metadata sources:
Abstract
<jats:p> Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic instruments, which makes TCM diagnosis more quantitative, objective, and standardized. As a result, the diagnosis decisions made by different TCM doctors exhibit more consistency, accuracy, and reliability. Meanwhile, the therapeutic efficacy of TCM can be evaluated objectively. Therefore, AI is promoting TCM from experience to evidence-based medicine, a genuine scientific revolution. Furthermore, huge and non-uniform knowledge on formula-syndrome relationships and the combination rules of herbal TCM formulae could be better standardized with the help of AI analysis, which is necessary for the clinical efficacy evaluation and further optimization on the standardized TCM formulae. AI bridges the gap between TCM and modern science and technology. AI may bring clinical TCM diagnostics closer to western medicine. With the help of AI, more scientific evidence about TCM will be discovered. It can be expected that more unified guidelines for specific TCM syndromes will be issued with the development of AI-assisted TCM therapies in the future. </jats:p>
Autoren
DOI
10.1142/s0192415x21500622
eISSN
1793-6853
ISSN
0192-415X
Ausgabe der Veröffentlichung
06
Zeitschrift
The American Journal of Chinese Medicine
Sprache
en
Online publication date
2021
Paginierung
1297 - 1314
Datum der Veröffentlichung
2021
Status
Published
Herausgeber
World Scientific Pub Co Pte Lt
Herausgeber URL
http://dx.doi.org/10.1142/s0192415x21500622
Datum der Datenerfassung
2021
Titel
The Impact of Artificial Intelligence on Traditional Chinese Medicine
Ausgabe der Zeitschrift
49

Data source: Crossref

Abstract
Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic instruments, which makes TCM diagnosis more quantitative, objective, and standardized. As a result, the diagnosis decisions made by different TCM doctors exhibit more consistency, accuracy, and reliability. Meanwhile, the therapeutic efficacy of TCM can be evaluated objectively. Therefore, AI is promoting TCM from experience to evidence-based medicine, a genuine scientific revolution. Furthermore, huge and non-uniform knowledge on formula-syndrome relationships and the combination rules of herbal TCM formulae could be better standardized with the help of AI analysis, which is necessary for the clinical efficacy evaluation and further optimization on the standardized TCM formulae. AI bridges the gap between TCM and modern science and technology. AI may bring clinical TCM diagnostics closer to western medicine. With the help of AI, more scientific evidence about TCM will be discovered. It can be expected that more unified guidelines for specific TCM syndromes will be issued with the development of AI-assisted TCM therapies in the future.
Addresses
  • College of Pharmacy, Dalian Medical University, Dalian 116044, P. R. China.
Autoren
DOI
10.1142/s0192415x21500622
eISSN
1793-6853
Externe Identifier
  • PubMed Identifier: 34247564
Open access
false
ISSN
0192-415X
Ausgabe der Veröffentlichung
6
Zeitschrift
The American journal of Chinese medicine
Schlüsselwörter
  • Humans
  • Medicine, Chinese Traditional
  • Evidence-Based Medicine
  • Artificial Intelligence
  • Clinical Decision-Making
Sprache
eng
Medium
Print-Electronic
Online publication date
2021
Paginierung
1297 - 1314
Datum der Veröffentlichung
2021
Status
Published
Datum der Datenerfassung
2021
Titel
The Impact of Artificial Intelligence on Traditional Chinese Medicine.
Sub types
  • Systematic Review
  • Journal Article
Ausgabe der Zeitschrift
49

Data source: Europe PubMed Central

Abstract
Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic instruments, which makes TCM diagnosis more quantitative, objective, and standardized. As a result, the diagnosis decisions made by different TCM doctors exhibit more consistency, accuracy, and reliability. Meanwhile, the therapeutic efficacy of TCM can be evaluated objectively. Therefore, AI is promoting TCM from experience to evidence-based medicine, a genuine scientific revolution. Furthermore, huge and non-uniform knowledge on formula-syndrome relationships and the combination rules of herbal TCM formulae could be better standardized with the help of AI analysis, which is necessary for the clinical efficacy evaluation and further optimization on the standardized TCM formulae. AI bridges the gap between TCM and modern science and technology. AI may bring clinical TCM diagnostics closer to western medicine. With the help of AI, more scientific evidence about TCM will be discovered. It can be expected that more unified guidelines for specific TCM syndromes will be issued with the development of AI-assisted TCM therapies in the future.
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/34247564
DOI
10.1142/S0192415X21500622
eISSN
1793-6853
Ausgabe der Veröffentlichung
6
Zeitschrift
Am J Chin Med
Schlüsselwörter
  • Artificial Intelligence
  • Diagnostics
  • Machine Learning
  • Review
  • Traditional Chinese Medicine
  • Artificial Intelligence
  • Clinical Decision-Making
  • Evidence-Based Medicine
  • Humans
  • Medicine, Chinese Traditional
Sprache
eng
Country
Singapore
Paginierung
1297 - 1314
Datum der Veröffentlichung
2021
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2021
Titel
The Impact of Artificial Intelligence on Traditional Chinese Medicine.
Sub types
  • Journal Article
  • Systematic Review
Ausgabe der Zeitschrift
49

Data source: PubMed

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