ReviewZhonghua shao shang yu chuang mian xiu fu za zhi2025
[Current status, representative devices, and future development trends of wound measurement technologies].
Review in Zhonghua shao shang yu chuang mian xiu fu za zhi, 2025. 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
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Wound measurement plays a critical role in wound repair and chronic disease management, its accuracy directly influences the development of personalized treatment plans and the evaluation of wound healing progress. Although traditional one-dimensional measurement methods (such as the ruler method and the probe method) are simple to use, they are unable to meet modern clinical demands due to insufficient accuracy and consistency. In recent years, two-dimensional imaging methods, three-dimensional imaging methods, and the corresponding intelligent measurement devices have become mainstream of wound measurement. By employing digital image processing, three-dimensional modeling, and artificial intelligence technologies, the measurement accuracy has been significantly improved, providing multidimensional data support for the assessment of complex wounds. This article systematically reviews the current development status of wound measurement technologies, representative devices, and their clinical applications. It also explores future directions for optimization, including the integration of artificial intelligence, multi-modal data fusion, and privacy protection. The aim is to provide practical guidance and technical references for clinicians and researchers.
Indexed as
Identifiers
What 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.