Developing a deep learning model for the automated monitoring of acupuncture needle insertion: enhancing safety in traditional acupuncture practices

Authors

Shun‐Ku Lin (ORCID: https://orcid.org/0000-0003-0067-2280)
Syu‐Jyun Peng (ORCID: https://orcid.org/0000-0001-5002-6581)
Chien-Kun Su
Melnard Rome C Mercado

Institutions

National Yang Ming Chiao Tung University (TW)
University of Taipei (TW)
Taipei Medical University Hospital (TW)
Taipei City Hospital (TW)
Taipei Medical University (TW)
Chung Hua University (TW)

Publication Details

Journal: BMC Complementary Medicine and Therapies
Published: 2025-03-18
DOI: https://doi.org/10.1186/s12906-025-04853-7
Citations: 3
Primary Topic: Acupuncture Treatment Research Studies
Type: article
Field-Weighted Citation Impact: 7.14

Funders

Taipei Medical University
National Taipei University of Technology
Taipei City Government
National Science and Technology Council

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article

Developing a deep learning model for the automated monitoring of acupuncture needle insertion: enhancing safety in traditional acupuncture practices

Shun‐Ku Lin, Syu‐Jyun Peng, Chien-Kun Su, Melnard Rome C Mercado

Mar 18, 2025

3 citations

BMC Complementary Medicine and Therapies

Acupuncture Treatment Research Studies

7.14

article

Developing a deep learning model for the automated monitoring of acupuncture needle insertion: enhancing safety in traditional acupuncture practices

Shun‐Ku Lin, Syu‐Jyun Peng, Chien-Kun Su, Melnard Rome C Mercado

March 18, 2025article en

3 citations

Abstract

No abstract available for this paper.

BMC Complementary Medicine and TherapiesVol. 25(1)

National Yang Ming Chiao Tung University (TW), University of Taipei (TW), Taipei Medical University Hospital (TW), Taipei City Hospital (TW), Taipei Medical University (TW), Chung Hua University (TW)

Taipei Medical University, National Taipei University of Technology, Taipei City Government, National Science and Technology Council

Openalex Percentile: Top 4%

Acupuncture Treatment Research Studies

7.14

DOI Open Access PDF OpenAlex

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