Detection of hospital super bacteria MRSA from the hands of healthcare professionals using machine learning and hyperspectral imaging.

Healthcare-associated infections resulting from cross-contamination, particularly from the hands of multidisciplinary staff, significantly impact patient mortality in health units. The prolonged nature of classical phenotypic diagnostic methods underscores the need for faster and more precise alternatives. This study proposes an automatic procedure utilizing hyperspectral imaging (HSI) in shortwave infrared (SWIR) range to detect resistance to oxycillins in hospital bacteria.