A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection

The characteristics of the deep learning system that is complementary to humans could support the clinical workflow in operation rooms for prevention of retained surgical items indicate that the deep learning system that is complementary to humans could support the clinical workflow in operation rooms for prevention of retained surgical items.