Infrared Thermography for Measuring Elevated Body Temperature: Clinical Accuracy, Calibration, and Evaluation
Open accessAbstract
Infrared thermographs (IRTs) implemented according to standardized best practices have shown strong potential for detecting elevated body temperatures (EBT), which may be useful in clinical settings and during infectious disease epidemics. However, optimal IRT calibration methods have not been established and the clinical performance of these devices relative to the more common non-contact infrared thermometers (NCITs) remains unclear. In addition to confirming the findings of our preliminary analysis of clinical study results, the primary intent of this study was to compare methods for IRT calibration and identify best practices for assessing the performance of IRTs intended to detect EBT. A key secondary aim was to compare IRT clinical accuracy to that of NCITs. We performed a clinical thermographic imaging study of more than 1000 subjects, acquiring temperature data from several facial locations that, along with reference oral temperatures, were used to calibrate two IRT systems based on seven different regression methods. Oral temperatures imputed from facial data were used to evaluate IRT clinical accuracy based on metrics such as clinical bias (Δcb), repeatability, root-mean-square difference, and sensitivity/specificity. We proposed several calibration approaches designed to account for the non-uniform data density across the temperature range and a constant offset approach tended to show better ability to detect EBT. As in our prior study, inner canthi or full-face maximum temperatures provided the highest clinical accuracy. With an optimal calibration approach, these methods achieved a Δcb between ±0.03 °C with standard deviation (σΔcb) less than 0.3 °C, and sensitivity/specificity between 84% and 94%. Results of forehead-center measurements with NCITs or IRTs indicated reduced performance. An analysis of the complete clinical data set confirms the essential findings of our preliminary evaluation, with minor differences. Our findings provide novel insights into methods and metrics for the clinical accuracy assessment of IRTs. Furthermore, our results indicate that calibration approaches providing the highest clinical accuracy in the 37–38.5 °C range may be most effective for measuring EBT. While device performance depends on many factors, IRTs can provide superior performance to NCITs.
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Indirect core body temperature evaluation can achieve a high accuracy of ±0.03 °C.
“From these data, the internal core body temperature is evaluated with a high accuracy of ±0.03 °C [129,140,146,147,148,149].”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [148]
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884 · see citing works
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856 · see citing works
Yang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30079-5 · Cited by 10,066 · see citing works
Understanding bland altman analysis
Giavarina, D. (2015) · Biochemia Medica · doi:10.11613/bm.2015.015 · Cited by 4,022 · see citing works
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Shi, H., Han, X., Jiang, N., Cao, Y., Alwalid, O., Gu, J., Fan, Y., & Zheng, C. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30086-4 · Cited by 3,664 · see citing works
Comparing methods of measurement: why plotting difference against standard method is misleading
Bland, J. M., & Altman, D. G. (1995) · The Lancet · doi:10.1016/s0140-6736(95)91748-9 · Cited by 2,343 · see citing works
Infrared Thermography for Temperature Measurement and Non-Destructive Testing
Usamentiaga, R., Venegas, P., Guerediaga, J., Vega, L., Molleda, J., & Bulnes, F. G. (2014) · Sensors · doi:10.3390/s140712305 · Cited by 1,194 · see citing works
Receiver operating characteristic (ROC) curve for medical researchers
Kumar, R., & Indrayan, A. (2011) · Indian Pediatrics · doi:10.1007/s13312-011-0055-4 · Cited by 872 · see citing works
Spectral emissivity of skin and pericardium
Steketee, J. A. (1973) · Physics in Medicine and Biology · doi:10.1088/0031-9155/18/5/307 · Cited by 431 · see citing works
Why Bland–Altman plots should use X , not ( Y + X )/2 when X is a reference method
Krouwer, J. S. (2007) · Statistics in Medicine · doi:10.1002/sim.3086 · Cited by 419 · see citing works
CIRCADIAN RHYTHMICITY OF CORTISOL AND BODY TEMPERATURE: MORNINGNESS-EVENINGNESS EFFECTS
Bailey, S. L., & Heitkemper, M. M. (2001) · Chronobiology International · doi:10.1081/cbi-100103189 · Cited by 395 · see citing works
Timing of REM Sleep is Coupled to the Circadian Rhythm of Body Temperature in Man
Charles, A. C., Janet, C. Z., Joseph, M. R., Martin, C. M.-E., & Elliot, D. W. (1980) · Sleep · doi:10.1093/sleep/2.3.329 · Cited by 362 · see citing works
Schuchat, A., & CDC COVID-19 Response Team (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6918e2 · Cited by 332 · see citing works
Normal Body Temperature: A Systematic Review
Geneva, I. I., Cuzzo, B., Fazili, T. N., & Javaid, W. (2019) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofz032 · Cited by 300 · see citing works
Age-Dependent Changes in Temperature Regulation – A Mini Review
Blatteis, C. M. (2011) · Gerontology · doi:10.1159/000333148 · Cited by 284 · see citing works
Moran, D. S., & Mendal, L. (2002) · Sports Medicine · doi:10.2165/00007256-200232140-00001 · Cited by 277 · see citing works
A composite picture of the menstrual cycle
Moghissi, K. S., Syner, F. N., & Evans, T. N. (1972) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(72)90617-5 · Cited by 187 · see citing works
Bitar, D., Goubar, A., & Desenclos, J. C. (2009) · Eurosurveillance · doi:10.2807/ese.14.06.19115-en · Cited by 150 · see citing works
Exercise and the Circadian Variation in Body Temperature Measures
Reilly, T., & Brooks, G. A. (1986) · International Journal of Sports Medicine · doi:10.1055/s-2008-1025792 · Cited by 140 · see citing works
Fever screening during the influenza (H1N1-2009) pandemic at Narita International Airport, Japan
Nishiura, H., & Kamiya, K. (2011) · BMC Infectious Diseases · doi:10.1186/1471-2334-11-111 · Cited by 140 · see citing works
Comparison of 3 Infrared Thermal Detection Systems and Self-Report for Mass Fever Screening
Nguyen, A. V., Cohen, N. J., Lipman, H., Brown, C. M., Molinari, N., Jackson, W. L., Kirking, H. L., Szymanowski, P., Wilson, T. W., Salhi, B. A., et al. (2010) · Emerging infectious diseases · doi:10.3201/eid1611.100703 · Cited by 137 · see citing works
Ebola virus disease: a review on epidemiology, symptoms, treatment and pathogenesis
Goeijenbier, M., van Kampen, J. J. A., Reusken, C. B. E. M., Koopmans, M., & Gorp, E. C. M. V. (2014) · PubMed · doi:10.5281/zenodo.13525759 · Cited by 127 · see citing works
Patellar Skin Surface Temperature by Thermography Reflects Knee Osteoarthritis Severity
Denoble, A. E., Hall, N., Pieper, C. F., & Kraus, V. B. (2010) · Clinical Medicine Insights Arthritis and Musculoskeletal Disorders · doi:10.4137/cmamd.s5916 · Cited by 112 · see citing works
Infrared Thermography to Mass-Screen Suspected Sars Patients with Fever
Chiu, W.-T., Lin, P.-W., Chiou, H., Lee, W.-S., Lee, C. N., Yang, Y., Lee, H. M., Hsieh, M. S., Hu, C., Ho, Y., et al. (2005) · Asia Pacific Journal of Public Health · doi:10.1177/101053950501700107 · Cited by 111 · see citing works
The Relationship between Body and Ambient Temperature and Corneal Temperature
Kessel, L., Johnson, L., Arvidsson, H., & Larsen, M. (2010) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.10-5659 · Cited by 99 · see citing works
Daily rhythm of cerebral blood flow velocity
Conroy, D. A., Spielman, A. J., & Scott, R. Q. (2005) · Journal of Circadian Rhythms · doi:10.1186/1740-3391-3-3 · Cited by 98 · see citing works
Mouchtouri, V. Α., Christoforidou, E. P., der Heiden, M. A., Lemos, Fanos, M., Rexroth, U., Grote, U., Belfroid, E., Swaan, C. M., & Hadjichristodoulou, C. S. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16234638 · Cited by 98 · see citing works
Liu, C., Chang, R., & Chang, W.-C. (2004) · Infection Control and Hospital Epidemiology · doi:10.1086/502351 · Cited by 94 · see citing works
Clinical accuracy of a non‐contact infrared skin thermometer in paediatric practice
Terán, C. G., Torrez‐Llanos, J., Teran‐Miranda, T. E., Balderrama, C. R., Shah, N. S., & Villarroel, P. (2011) · Child Care Health and Development · doi:10.1111/j.1365-2214.2011.01264.x · Cited by 90 · see citing works
Fever screening and infrared thermal imaging: concerns and guidelines
Mercer, J. B., Francis, E. K., & Ring, J. (2009) · Cited by 85 · see citing works
Ghassemi, P., Pfefer, T. J., Casamento, J. P., Simpson, R., & Wang, Q. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203302 · Cited by 82 · see citing works
Self-citationThermal Image Scanning for Influenza Border Screening: Results of an Airport Screening Study
Priest, P. C., Duncan, A. R., Jennings, L., & Baker, M. G. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014490 · Cited by 79 · see citing works
Chiappini, E., Sollai, S., Longhi, R. C., Morandini, L., Laghi, A., Osio, C. E., Persiani, M., Lonati, S., Picchi, R., Bonsignori, F., et al. (2011) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.2010.03565.x · Cited by 78 · see citing works
Zhou, Y., Ghassemi, P., Chen, M., McBride, D. R., Casamento, J. P., Pfefer, T. J., & Wang, Q. (2020) · Journal of Biomedical Optics · doi:10.1117/1.jbo.25.9.097002 · Cited by 77 · see citing works
Self-citationRemote-sensing infrared thermography
Ng, E. Y. K., & Acharya, U. R. (2009) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2008.931018 · Cited by 71 · see citing works
Landsberg, L., Young, J. B., Leonard, W. R., Linsenmeier, R. A., & Turek, F. W. (2009) · Metabolism · doi:10.1016/j.metabol.2009.02.017 · Cited by 65 · see citing works
Lu, S., & Dai, Y. (2009) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2008.11.006 · Cited by 62 · see citing works
Oral temperature as an index of core temperature during heat transients
Mairiaux, P., Sagot, J., & Candas, V. (1983) · European Journal of Applied Physiology · doi:10.1007/bf00423239 · Cited by 57 · see citing works
Yetman, R. J., Coody, D. K., West, M. S., Montgomery, D. F., & Brown, M. (1993) · The Journal of Pediatrics · doi:10.1016/s0022-3476(06)80024-7 · Cited by 53 · see citing works
Cho, K. S., & Yoon, J. (2014) · Epidemiology and Health · doi:10.4178/epih/e2014004 · Cited by 47 · see citing works
Martínez‐Jiménez, M. A., Loza-González, V. M., Kolosovas‐Machuca, E. S., Yanes‐Lane, M., Luna, A. S. R. G., & Ramírez-GarcíaLuna, J. L. (2020) · European Journal of Clinical Investigation · doi:10.1111/eci.13474 · Cited by 47 · see citing works
Tay, M. R. J., Low, Y. L., Zhao, X., Cook, A. R., & Lee, V. J. (2015) · Public Health · doi:10.1016/j.puhe.2015.07.023 · Cited by 46 · see citing works
Clinical evaluation of non-contact infrared thermometers
Sullivan, S. J. L., Rinaldi, J. E., Hariharan, P., Casamento, J. P., Baek, S., Seay, N., Vesnovsky, O., & Topoleski, L. D. T. (2021) · Scientific Reports · doi:10.1038/s41598-021-99300-1 · Cited by 44 · cited 7× · see citing works
“Data acquired for each subject include thermal images, NCIT readings (analyzed in [45]) and reference sublingual temperature (Tre f ).”
MethodResultInfluentialSelf-citationCerumen Occlusion Lowers Infrared Tympanic Membrane Temperature Measurement
Doezema, D., Lunt, M., & Tandberg, D. (1995) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.1995.tb03072.x · Cited by 43 · see citing works
Comparison of non-contact infrared skin thermometers
Fletcher, T., Whittam, A., Simpson, R., & Machin, G. (2018) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2017.1409818 · Cited by 41 · see citing works
Mass Screening for Fever in Children
Selent, M. U., Molinari, N., Baxter, A. L., Nguyen, A. V., Siegelson, H., Brown, C. M., Plummer, A., Higgins, A., Podolsky, S. R., Spandorfer, P. R., et al. (2013) · Pediatric Emergency Care · doi:10.1097/pec.0b013e3182854465 · Cited by 39 · see citing works
Cesana, B. M., Antonelli, P., & Ferraro, S. (2024) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2024-0595 · Cited by 39 · see citing works
Hewlett, A. L., Kalil, A. C., Strum, R. A., Zeger, W. G., & Smith, P. W. (2011) · Infection Control and Hospital Epidemiology · doi:10.1086/659404 · Cited by 32 · see citing works
Chenna, Y. D., Ghassemi, P., Pfefer, T. J., Casamento, J. P., & Wang, Q. (2018) · Sensors · doi:10.3390/s18010125 · Cited by 31 · see citing works
Self-citationTraceability and calibration in temperature measurement: a clinical necessity
Simpson, R., Machin, G., McEvoy, H. C., & Rusby, R. L. (2006) · Journal of Medical Engineering & Technology · doi:10.1080/03091900600711530 · Cited by 29 · see citing works
Detection of body temperature with infrared thermography: accuracy in detection of fever.
Cheung, B. M. Y., Chan, L. S., Lauder, I., & Kumana, C. R. (2012) · PubMed · Cited by 27 · see citing works
Utility of infrared thermography for screening febrile subjects.
Chan, L. S., Lo, J. L. F., Kumana, C. R., & Cheung, B. M. Y. (2013) · PubMed · Cited by 27 · see citing works
Tkáčová, M., & Foffová, P. (2011) · Cited by 18 · see citing works
Sullivan, S. J. L., Seay, N., Zhu, L. K., Rinaldi, J. E., Hariharan, P., Vesnovsky, O., & Topoleski, L. T. (2021) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2021.05.007 · Cited by 9 · see citing works
Ng, D. K., Chan, C., Chow, P. E. K., & Kwok, K.-L. (2004) · Europe PMC (PubMed Central) · Cited by 4 · see citing works
Harding, C., Pompei, F., Bordonaro, S. F., McGillicuddy, D. C., Burmistrov, D., & Sánchez, L. D. (2020) · medRxiv · doi:10.1101/2020.05.23.20093484 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [8]Widmaier E.P. Raff H. Strang K.T. Regulation of Organic Metabolism and Energy Balance-Section B: Regulation of Total-Body Energy Balance and Temperature Vander’s Human Physiology McGraw-Hill New York, NY, USA 2008 583 596
- [49]Del Bene V.E. Temperature Clinical Methods: The History, Physical, and Laboratory Examinations Walker H.K. Hall W.D.H. Hurst J.W. Butterworth Publishers, a Division of Reed Publishing Boston, MA, USA 1990 990 993 21250045
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Vavrinsky, E., Esfahani, N. E., Hausner, M., Kuzma, A., Rezo, V., Donoval, M., & Kosnacova, H. (2022) · Biosensors · doi:10.3390/bios12040217 · Cited by 103 · see citing works
Zhao, Y., & Bergmann, J. (2023) · Sensors · doi:10.3390/s23177439 · Cited by 82 · see citing works
Exploring Thermal Dynamics in Wound Healing: The Impact of Temperature and Microenvironment
Huang, J., Fan, C., Ma, Y., & Huang, G. (2024) · Clinical Cosmetic and Investigational Dermatology · doi:10.2147/ccid.s468396 · Cited by 47 · see citing works
Statistical Study on Human Temperature Measurement by Infrared Thermography
Švantner, M., Lang, V., Skála, J., Kohlschütter, T., Honner, M., Muzika, L., & Kosová, E. (2022) · Sensors · doi:10.3390/s22218395 · Cited by 33 · see citing works
Mazdeyasna, S., Ghassemi, P., & Wang, Q. (2023) · Sensors · doi:10.3390/s23188011 · Cited by 26 · see citing works
Self-citationOpenEarable 2.0: Open-Source Earphone Platform for Physiological Ear Sensing
Röddiger, T., Küttner, M., Lepold, P., King, T., Moschina, D., Bagge, O., Paradiso, J. A., Clarke, C., & Beigl, M. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3712069 · Cited by 21 · see citing works
Facial thermal imaging: A systematic review with guidelines and measurement uncertainty estimation
Stanić, V., & Geršak, G. (2024) · Measurement · doi:10.1016/j.measurement.2024.115879 · Cited by 17 · see citing works
A Comprehensive Review of Non-Invasive Core Body Temperature Measurement Techniques
Hashimoto, Y. (2026) · Sensors · doi:10.3390/s26030972 · Cited by 13 · see citing works
Lazri, Z. M., Zhu, Q., Chen, M., Wu, M. H., & Wang, Q. (2022) · IEEE Access · doi:10.1109/access.2022.3161968 · Cited by 13 · see citing works
Self-citationAntunes, A. C., Aldred, A., Moreno, G. P. T., Ribeiro, J. A. D. S., Brandão, P. E., Barone, G. T., Conselheiro, J. A., Goulart, A. C., Desuó, I. C., & Gomes, G. (2023) · PLoS ONE · doi:10.1371/journal.pone.0279930 · Cited by 12 · see citing works
Regression model for predicting core body temperature in infrared thermal mass screening
Limpabandhu, C., Hooper, F. S. W., Li, R., & Tse, Z. T. H. (2022) · IPEM-Translation · doi:10.1016/j.ipemt.2022.100006 · Cited by 12 · see citing works
Review on the evolving role of infrared thermography in oncological applications
Pokharel, A., Luitel, N., Khatri, A., Khadka, S., & Shrestha, R. (2024) · Infrared Physics & Technology · doi:10.1016/j.infrared.2024.105399 · Cited by 11 · see citing works
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques
Razmara, P., Khezresmaeilzadeh, T., & Jenkins, B. K. (2024) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi62660.2024.10913591 · Cited by 11 · see citing works
Lin, P.-H., Kuo, P., & Chen, K.-L. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3372649 · Cited by 10 · see citing works
Estimation of thermal properties by active infrared thermography: a review
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Sun, R., Wang, Q., Yu, C., Yang, Z., Wu, J., & Fan, W. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110926 · Cited by 8 · see citing works
Self-citationXie, R., Liu, Q., Zhang, Y., Guo, C., Huang, X., & Liu, M. (2022) · International Wound Journal · doi:10.1111/iwj.14034 · Cited by 8 · see citing works
Shan, C., Hu, J., Zhou, T., & Li, J. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3543978 · Cited by 6 · see citing works
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Wnuk-Scardaccione, A., & Bilski, J. (2026) · Medicina · doi:10.3390/medicina62061204 · Cited by 4 · see citing works
Ptak, B., Aszkowski, P., Weissenberg, J., Kraft, M., & Weissenberg, M. (2024) · IEEE Access · doi:10.1109/access.2024.3377448 · Cited by 4 · see citing works
Biswas, B. K., Ishii, K., Okamoto, K., Watanabe, Y., Li, J., Tan, Y., Dempoya, A., Lee, S., Iwamura, T., Konoshita, S., et al. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.115763 · Cited by 4 · see citing works
Muniz, P. R., Simão, J., Nunes, R. B., Campos, H. L. M., Santos, N. Q., Ninke, A., & Lemos, J. T. (2022) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2022.100513 · Cited by 4 · see citing works
Kostadinov, G. (2023) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-44668-9_12 · Cited by 3 · see citing works
Sampath, A., Wakode, S. L., Shrivastava, R., Pathak, T., Thakare, A. E., & Wakode, N. S. (2022) · Cureus · doi:10.7759/cureus.31712 · Cited by 3 · see citing works
Filipowicz, P., Kowalewski, M., Slominska, K., & Kaczmarek, M. (2022) · Conference on Human System Interactions · doi:10.1109/hsi55341.2022.9869458 · Cited by 3 · see citing works
Lim, S. M., Li, P., Braat, S., Aung, Y. H., Fu, S., Johnson, D. F., & Lim, W. K. (2025) · Sensors · doi:10.3390/s25041149 · Cited by 2 · see citing works
Interpretable feature interaction via statistical self-supervised learning on tabular data
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Díaz–González, C. D. L. M., Mateos-López, N., la Rosa-Hormiga, M. D., & Carballo-Hernández, G. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20054665 · Cited by 2 · see citing works
King, T., Röddiger, T., Laubenstein, D., & Beigl, M. (2024) · ACM International Symposium on Wearable Computers (ISWC) · doi:10.1145/3675095.3676627 · Cited by 2 · see citing works
Karapateas, L., Lai, Y., Meng, X., Zhang, Y., Willmott, J. R., & Hobbs, M. J. (2024) · Sensors · doi:10.3390/s24237780 · Cited by 2 · see citing works
Chudecka, M., Dmytrzak, A., Leźnicka, K., & Lubkowska, A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063687 · Cited by 2 · see citing works
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Improving the quality of respiratory signals extracted from the segmented mask area
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Alshehri, B., Aljhani, N., Albalawi, A., Abdulghani, W., Alfawzan, T., & Alkhodair, A. J. (2026) · Future Internet · doi:10.3390/fi18060293 · Cited by 1 · see citing works
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Reis, H. H. T., Brito, C. J., da Silva, A. G., Sillero‐Quintana, M., Werneck, F. Z., Fernández-Cuevas, I., Cerqueira, M. S., & Marins, J. C. B. (2022) · Revista Andaluza de Medicina del Deporte · doi:10.33155/j.ramd.2022.10.002 · Cited by 1 · see citing works
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Denton, M. L., & Noojin, G. D. (2023) · doi:10.1002/9781119799627.ch9 · Cited by 1 · see citing works
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Ames, E. E. C., Quilca, B. J. L., Taipe, E. N. U., & Huamanchahua, D. (2022) · International Conference on Robotics, Automation and Artificial Intelligence (RAAI) · doi:10.1109/raai56146.2022.10092968
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Khan, Z. U., Iohom, G., & OʼDonnell, B. D. (2025) · Anesthesia Research · doi:10.3390/anesthres2040027
Evaluation of Human Body Temperature Measurements with Infrared Thermography in the Ear Region
Önder, D., & Vardarli, E. (2025) · Türkiye Sağlık Enstitüleri Başkanlığı Dergisi · doi:10.4274/jhit.galenos.2025.02996
Sohail, M., Yar, H., & Kim, H. S. (2026) · Mathematics · doi:10.3390/math14101666
Ng, Y. C., Belyaev, A. G., Choong, F. C. M., Suandi, S. A., Chuah, J. H., & Rudrusamy, B. (2026) · Sensors · doi:10.3390/s26113619
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Liu, C., Bianchi, L., & Saccomandi, P. (2026) · IEEE Sensors Reviews · doi:10.1109/sr.2026.3715381
On disperse generalized linear models
Carrizosa, E., Leone, R. D., & Magagnini, M. (2026) · Computers & Operations Research · doi:10.1016/j.cor.2026.107607
Technical Characterization of a Low-Cost Thermal Imaging System for Future Diabetic Foot Assessment
Román-Rojas, D., Espinoza-Valdez, A., & Morales-Ramírez, T. I. (2026) · Applied Sciences · doi:10.3390/app16168013
- Authors
- Wang, Q., Zhou, Y., Ghassemi, P., McBride, D., Casamento, J. P., & Pfefer, T. J.
- Affiliations
- United States Food and Drug Administration (US)
- Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD 20993, USA
- University of Maryland, College Park (US)
- Corresponding author
- Wang, Quanzeng
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2021-12-29
- Volume
- 22
- Issue
- 1
- Pages
- 215
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC8749858
- OpenAlex
- W4200395617
- Cited by
- 48
- References
- 56
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 11 · 2023: 7 · 2022: 12
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Maryland Shared Open Access Repository (USMAI Consortium) (submittedVersion, cc-by)
- Digital Repository at the University of Maryland (University of Maryland College Park) (cc-by)
- Funders
- United States Food and Drug Administration (16ECDRH407)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Infrared Thermography in Medicine
- Physical Sciences › Engineering › Mechanics of Materials › Thermography and Photoacoustic Techniques
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Thermal Regulation in Medicine
- Keywords
- infrared thermography, elevated body temperature, fever detection, non-contact infrared thermometer, clinical accuracy, forehead temperature, sensitivity and specificity, infectious disease surveillance
- MeSH terms
- Body Temperature, Calibration, Fever, Humans, Infrared Rays, Thermography, Thermometers
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