Impact of Imaging Protocols on Thermal Detection of Pressure Injuries: Threshold versus Deep Learning Across Skin Tones
This study demonstrates that deep learning models significantly outperform traditional threshold-based approaches in detecting simulated pressure injuries via thermal imaging, achieving robust and equitable accuracy across diverse skin tones and varying imaging protocols by leveraging spatial thermal gradients rather than fixed temperature differentials.