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

• DOI: 10.1002/jbio.202300486
• Publication Date: 2024-01-23T00:44:55Z
• Authors: Oshrit Hoffer; Rafael Y. Brzezinski; Adam Ganim; Perry Shalom; Zehava Ovadia‐Ble...; Lital Ben‐Baruch; Nir Lewis; Racheli Peled; Carmi Shimon; Nili Naftali‐Shani; Eyal Katz; Yair Zimmer; Neta Rabin
• Keywords: Transfer of learning; 2019-20 coronavirus outbreak

Abstract 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 connected to smartphones. Thus, they detect and monitor medical conditions outside Herein, a smartphone‐based application images of human back was developed for COVID‐19 detection. Image analysis deep learning algorithm revealed sensitivity specificity 88.7% 92.3%, respectively. The findings support the future use noninvasive imaging primary screening associated pneumonia.