Smartphone-based detection of COVID-19 and associated pneumonia using thermal imaging and a transfer learning algorithm.

Smartphone-based detection of COVID-19 and associated pneumonia using thermal imaging and a transfer learning algorithm.

Publication date: Jan 22, 2024

COVID-19-related pneumonia is typically diagnosed using chest x-ray or computed tomography images. However, these techniques can only be used in hospitals. In contrast, thermal cameras are portable, inexpensive devices that can be connected to smartphones. Thus, they can be used to detect and monitor medical conditions outside hospitals. Herein, a smartphone-based application using thermal images of a human back was developed for COVID-19 detection. Image analysis using a deep learning algorithm revealed a sensitivity and specificity of 88. 7% and 92. 3%, respectively. The findings support the future use of noninvasive thermal imaging in primary screening for COVID-19 and associated pneumonia.

Concepts Keywords
Biophotonics machine learning
Covid mobile health
Inexpensive pneumonia
Pneumonia thermal imaging
Smartphones transfer learning

Semantics

Type Source Name
disease MESH COVID-19
disease MESH pneumonia
disease IDO algorithm

Original Article

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