ArticleScientific reports2026
Deep learning-based infrared thermography reveals reproducible uniform and individual thermoregulatory responses during running.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
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Who cites it
3 citing papers in PubMed.
- Reliability and physiological responsiveness of skin temperature and thermal contrast index during incremental exercise: a test-retest analysis.Scientific reports · 2026Article
- Infrared Thermography Reveals Recurrent Thermal Asymmetry Patterns Rather than Stable Thermal Phenotypes in Elite Under-18 Soccer Players: A Prospective Longitudinal Observational Study.Sports (Basel, Switzerland) · 2026Article
- Infrared Thermographic Assessment of Exercise-Induced Changes in Local Surface Temperature in Horses Following Treadmill Training: Preliminary Findings.Animals : an open access journal from MDPI · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infrared thermography (IRT) has recently gained attention in the field of exercise physiology, due to its ability to monitor thermoregulatory and cardiopulmonary responses non-invasively and in real time during physical exercise. However, the reproducibility of intra-individual measurement and standardization of region-of-interest selection in relation to the acute exercise response remain inconclusive. This study aimed to examine the reproducibility and physiological relevance of specific skin temperature (T
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Registered trials
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