A mobile device that combines photographs, infrared thermography images, and bacterial fluorescence images may improve detection of wound infections, according to a study published in Frontiers in Medicine. Jose L. Ramirez-GarciaLuna, PhD, MS, and colleagues assessed the efficacy of the Swift Ray 1, which can be attached to a smartphone and connected to the Swift Skin and Wound software, to take hyperspectral images that collect visible light, thermography images, and bacterial fluorescence images. e mobile device could accurately predict all three wound classes (infected, inflamed, and uninfected) with 74% accuracy. Performance was best on infected wounds (100% sensitivity, 91% specificity) versus uninflamed wounds (94% sensitivity, 70% specificity) and inflamed wounds (85% sensitivity, 77% specificity). “Enabling clinicians to use point-ofcare hyperspectral imaging may allow earlier infection detection and intervention,” Dr. Ramirez- GarciaLuna and colleagues wrote.
