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Related Experiment Video

Updated: Jan 14, 2026

Author Spotlight: Development of a Standardized Acupuncture Tool Inspired by Advanced Techniques for Improved Safety and Precision
07:29

Author Spotlight: Development of a Standardized Acupuncture Tool Inspired by Advanced Techniques for Improved Safety and Precision

Published on: January 10, 2025

649

AcuKG: a comprehensive knowledge graph for medical acupuncture.

Yiming Li1,2, Xueqing Peng3, Suyuan Peng4

  • 1Department of Medicine, Harvard Medical School, Boston, MA 02115, United States.

Journal of the American Medical Informatics Association : JAMIA
|October 22, 2025
PubMed
Summary

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Journal of the American Medical Informatics Association : JAMIA·2026

AcuKG, a novel knowledge graph, organizes acupuncture information for AI applications. This structured data enhances research and improves large language model accuracy for acupuncture-related queries.

Area of Science:

  • Biomedical Informatics
  • Traditional Chinese Medicine Research

Background:

  • Acupuncture knowledge is fragmented, hindering semantic retrieval and AI applications.
  • AcuKG (Acupuncture Knowledge Graph) was developed to systematically organize acupuncture information.

Purpose of the Study:

  • To create a comprehensive knowledge graph for acupuncture.
  • To support knowledge sharing, discovery, and AI-driven innovation in acupuncture.

Main Methods:

  • Integrated data from diverse sources: online resources, guidelines, literature, clinical trials, and ontologies (SNOMED CT, UBERON, MeSH).
  • Utilized entity recognition, relation extraction, and ontology mapping with human-in-the-loop validation.
  • Evaluated usability through acupuncture research for obesity and large language model (LLM) question-answering.
Keywords:
acupunctureartificial intelligence applicationcomplementary medicineknowledge graphlarge language model

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Related Experiment Videos

Last Updated: Jan 14, 2026

Author Spotlight: Development of a Standardized Acupuncture Tool Inspired by Advanced Techniques for Improved Safety and Precision
07:29

Author Spotlight: Development of a Standardized Acupuncture Tool Inspired by Advanced Techniques for Improved Safety and Precision

Published on: January 10, 2025

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Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
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Main Results:

  • AcuKG contains 1839 entities and 11,527 relations, mapped to 1836 standard concepts.
  • Demonstrated effectiveness in identifying relevant acupoints (e.g., ST25, ST36) for obesity research.
  • Improved LLM accuracy for acupuncture questions (GPT-4o: 46% to 54%; LLaMA 3: 17% to 28%).

Conclusions:

  • AcuKG is an open dataset providing a structured framework for acupuncture.
  • Bridges traditional acupuncture practices with modern research and LLM technologies.
  • Facilitates computational applications and AI-driven advancements in acupuncture.