2020
DOI: 10.1111/eci.13474
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Diagnostic accuracy of infrared thermal imaging for detecting COVID‐19 infection in minimally symptomatic patients

Abstract: Introduction Despite being widely used as a screening tool, a rigorous scientific evaluation of infrared thermography for the diagnosis of minimally symptomatic patients suspected of having COVID‐19 infection has not been performed. Methods A consecutive sample of 60 adult individuals with a history of close contact with COVID‐19 infected individuals and mild respiratory symptoms for less than 7 days and 20 confirmed COVID‐19 negative healthy volunteers were enrolled in the study. Infrared thermograms of the f… Show more

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Cited by 38 publications
(34 citation statements)
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“…This non-invasive, safe, and low-cost technique measures the temperature of infrared rays emitted from the body [ 9 , 10 ], and can be used to diagnose several cancers through detecting tumor-related skin temperature increases [ 11 , 12 ]. Other applications of this technique include diabetes treatment monitoring [ 13 ] and detecting COVID-19 [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…This non-invasive, safe, and low-cost technique measures the temperature of infrared rays emitted from the body [ 9 , 10 ], and can be used to diagnose several cancers through detecting tumor-related skin temperature increases [ 11 , 12 ]. Other applications of this technique include diabetes treatment monitoring [ 13 ] and detecting COVID-19 [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…Physician support was slightly lower (59%) for "fever cameras" but still optimistic, consistent with the utility for mass screening offered by their high negative predictive value, 8 However, the positive predictive value (less than 20% in one study) of these systems remains low, 8,9 suggesting the need for further optimization to reduce false positives.…”
Section: Discussionmentioning
confidence: 67%
“…However, the effectiveness of IRI in detecting COVID-19 should be extensively tested on patients and, particularly, on asymptomatic patients, in order to fully explore the potentiality of IRI to stem the tide of this pandemic. In fact, the capability of IRI to discriminate COVID-19 patients with mild respiratory symptoms relies on the evaluation of the difference of temperature between facial regions of interest [66]. Hence, further studies should test the capability of ML to increase the IRI diagnostic capabilities in discriminating even asymptomatic patients investigating the facial temperature pattern.…”
Section: Discussionmentioning
confidence: 99%
“…The authors obtained an accuracy of 83.69%, sensitivity of 90.23% and specificity of 84.61% in detecting respiratory diseases patients. Martinez-Jimenez [66] developed a method to discriminate COVID-19 infected individuals with mild respiratory symptoms from negative healthy volunteers. The temperature asymmetry between the lacrimal caruncles and the forehead was significantly higher in COVID-19 patients.…”
Section: Machine Learning Applications For Respiratory Diseases Assesmentioning
confidence: 99%