ReviewChinese journal of integrative medicine2022
New Proposals for Application of Terahertz Imaging Technique in Chinese Medicine.
Review in Chinese journal of integrative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid development of terahertz technology promotes the realization of various terahertz imaging systems. Terahertz technology features terahertz waves as good non-invasive illumination sources due to their high spectral resolution, penetration and safety. The terahertz imaging technique (TIT) has gradually been extended from the biomedical field to the field of Chinese medicine (CM), and it has become a powerful tool for seeking scientific evidence for CM theories with the use of modern science and technology. This paper reviews the current application of TITs in the field of CM research, and most importantly offers novel proposals for the application of TITs in CM research from the perspective of CM syndrome objectification and acupuncture research and cites existing reports as reference to the feasibility of these new proposals.
Indexed as
Identifiers
35023062What OpenQuestion holds
Registered trials
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.