ArticleBMJ health & care informatics2025
Preliminary study on objective evaluation algorithm of human infrared thermogram seriality and its clinical application in population with metabolic syndrome.
Article in BMJ health & care informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Assessing the Health and Functionality of the Microcirculation Using Thermal Imaging.Journal of biophotonics · 2026Review
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14 authors.
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Abstract
objectivesTo develop an objective evaluation algorithm for assessing the seriality of infrared thermograms for the auxiliary diagnosis of diseases, and to internally validate the algorithm using metabolic syndrome (MS) as a case example.
methodsA total of 266 healthy participants (133 of each sex) and 180 patients with MS (133 males and 47 females) were retrospectively enrolled. Infrared thermograms were randomly divided into a training set and a validation set at a ratio of 3:1. According to the algorithm proposed in this article, the thermal sequence values of patients with MS were calculated and compared between the two groups. The area under the curve (AUC) was computed to evaluate the diagnostic performance of thermogram seriality in MS detection.
resultsThe established thermal sequence of healthy participants was as follows: T DISCUSSION: The study proposed a novel, objective algorithm for quantitatively evaluating thermogram seriality. By focusing on temperature sequences rather than absolute temperature values, the algorithm is expected to facilitate a more quantitative evaluation of thermogram features. It could improve the stability and reproducibility of MS diagnosis.
conclusionThe algorithm can quantitatively characterise thermogram seriality and can be used for the auxiliary screening of MS.
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