ReviewBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2024
[Application and prospects of infrared thermography in rheumatic diseases].
Review in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infrared thermography is an advanced technology that utilizes infrared detectors to sense the infrared thermal radiation emitted from the human body' s surface, converting it into electrical signals. These signals are then processed by computers to generate planar temperature color images, providing an intuitive display of the body surface temperature distribution. Rheumatic diseases, as prevalent conditions that significantly impact the quality of life of millions of people worldwide, pose significant challenges in diagnosis and assessment. Traditional diagnostic and evaluation methods, while possessing certain clinical value, exhibit non-negligible limitations. With the advancements and increasing popularity of infrared thermography technology, combined with the progress in medical image recognition and artificial intelligence algorithms, this technology has demonstrated increasingly prominent advantages in the field of rheumatology. By employing this non-invasive and highly efficient technique for analyzing superficial tissue thermal radiation distribution, early and precise diagnosis of rheumatic diseases, as well as dynamic monitoring of disease progression, becomes feasible. This technological advancement enhances the accuracy and efficiency of rheumatic disease diagnosis, thereby alleviating the burden on healthcare systems and optimizing the allocation of medical resources. Furthermore, infrared thermography introduces new vitality into the diagnosis and treatment monitoring of rheumatic diseases. It enables clinicians to detect subtle changes in body surface temperature that may indicate underlying inflammatory or metabolic processes associated with rheumatic conditions. This capability facilitates early intervention and personalized treatment strategies, ultimately contributing to improved patient outcomes and satisfaction. The integration of infrared thermography with advanced image processing algorithms and artificial intelligence further amplifies its potential, enabling automated analysis and interpretation of thermal images, thus reducing the dependence on manual interpretation and enhancing the reproducibility and reliability of diagnostic results. In conclusion, infrared thermography represents as a promising tool in the management of rheumatic diseases, offering a non-invasive, cost-effective, and efficient means for early diagnosis, monitoring, and therapeutic evaluation of diseases. As technology continues to evolve, the application of infrared thermography is expected to advance further in rheumatic diseases.
Indexed as
Identifiers
39690783PMC11652976What 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.