Evidence map›Paper›PMID 39258197›Full record

ArticleHeliyon2024

Multispectral imaging in medicine: A bibliometric study.

Zexu Lin, Xiheng Hu, Yuancheng Liu, Sicen Lai, Lingjia Hao, Yihao Peng, Yixin Li, Zirui Zhu, Xing Huang, Kai Huang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zexu LinDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Xiheng HuDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Yuancheng LiuDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Sicen LaiDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Lingjia HaoDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Yihao PengDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Yixin LiDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Zirui ZhuDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Xing HuangDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Kai HuangDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.
Mi ZhangDepartment of Dermatology, Xiangya Hospital, Central South University, Hunan, 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multispectral Imaging has been used in many fields. In the medical field, Multispectral Imaging is still in its infancy. However, due to its excellent potential, it will also become one of the most important medical imaging in the future. This paper is the first bibliometric study in this field. The study comprehensively searched all relevant documents in Web of Science Core Collection from Jan 1, 1999 to Dec 31, 2022, systematically sorted out the author, journal, country and institution in this field, and analyzed the keywords. Based on this, the study suggests that researchers and healthcare workers should strengthen cooperation to apply Multispectral Imaging to more medical fields while further developing related technologies. At the same time, in the future, this field should focus on non-ex vivo tissue detection and the combination of Multispectral Imaging and artificial intelligence.

Indexed as

Artificial intelligenceMultispectral imagingMultispectral optoacoustic tomographyPhotodynamic therapy

Identifiers

PMID39258197
PMCPMC11386042

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.