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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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Artificial Intelligence Meets Chinese Medicine.

Yan Guo1, Xue Ren2, Yu-Xin Chen3

  • 1Xiyuan Hospital, China Academy of Chinese Medicinal Sciences, Beijing, 100091, China.

Chinese Journal of Integrative Medicine
|October 26, 2019
PubMed
Summary
This summary is machine-generated.

This study explores artificial intelligence applications in traditional Chinese medicine (TCM) diagnosis and treatment, focusing on pneumonia. It addresses standardization challenges and highlights new technological advances for modern TCM development.

Keywords:
Chinese medicineartificial intelligencediagnosis and treatment

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Area of Science:

  • Medicine
  • Artificial Intelligence
  • Traditional Chinese Medicine

Background:

  • Standardization of traditional Chinese medicine (TCM) diagnosis is a significant barrier to its modernization and global acceptance.
  • Intelligent diagnosis and treatment, an interdisciplinary field combining medicine and artificial intelligence (AI), is gaining considerable attention.
  • The integration of AI is crucial for advancing modern TCM in the current technological era.

Purpose of the Study:

  • To provide an overview of intelligent medical technology and its application in TCM.
  • To identify current technical challenges in applying AI to TCM diagnosis and treatment.
  • To present recent advancements in intelligent technologies for TCM diagnosis and treatment, using pneumonia as a case study.

Main Methods:

  • Review of intelligent medical technologies and their applications in TCM.
  • Analysis of technical challenges in AI-driven TCM diagnosis and treatment.
  • Examination of new advances in AI for TCM, exemplified by pneumonia cases.

Main Results:

  • Intelligent medical technology offers potential solutions for TCM standardization.
  • Challenges in AI application include data heterogeneity and algorithm interpretability.
  • Emerging AI techniques show promise in improving TCM diagnostic accuracy and treatment efficacy.

Conclusions:

  • AI integration is vital for overcoming TCM standardization hurdles.
  • Addressing technical challenges will accelerate the adoption of intelligent systems in TCM.
  • Continued research and development in AI for TCM can enhance its modernization and global reach.