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Multispectral imaging in medicine: A bibliometric study.

Zexu Lin1,2,3,4,5, Xiheng Hu1,6,7,8, Yuancheng Liu1,2,3,8,4

  • 1Department of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.

Heliyon
|September 11, 2024
PubMed
Summary
This summary is machine-generated.

This bibliometric study explores Multispectral Imaging (MSI) in medicine. Future research should focus on non-ex vivo tissue detection and integrating MSI with artificial intelligence for broader medical applications.

Keywords:
Artificial intelligenceMultispectral imagingMultispectral optoacoustic tomographyPhotodynamic therapy

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Area of Science:

  • Medical Imaging
  • Biomedical Optics
  • Bibliometrics

Background:

  • Multispectral Imaging (MSI) shows significant potential in medicine, though its application is currently limited.
  • This paper presents the first bibliometric analysis of MSI in the medical field.
  • The study covers publications from 1999 to 2022.

Purpose of the Study:

  • To conduct a comprehensive bibliometric analysis of Multispectral Imaging in medicine.
  • To identify key authors, journals, countries, institutions, and keywords in the field.
  • To provide insights into the current state and future directions of medical MSI.

Main Methods:

  • Systematic literature search of the Web of Science Core Collection database.
  • Data collection spanning from January 1, 1999, to December 31, 2022.
  • Bibliometric analysis including author, journal, country, institution, and keyword analysis.

Main Results:

  • Identified key contributors and publication trends in medical MSI.
  • Analyzed the intellectual structure and research hotspots through keyword analysis.
  • Highlighted the growing importance and potential of MSI in various medical domains.

Conclusions:

  • Multispectral Imaging is poised to become a crucial medical imaging modality.
  • Collaboration between researchers and healthcare professionals is essential for expanding MSI applications.
  • Future research should prioritize non-ex vivo tissue detection and the integration of MSI with artificial intelligence.