Automated nailfold analysis distinguishes systemic sclerosis from normal capillaries

A fully automated analysis of nailfold images was able to distinguish patients with systemic sclerosis from those with normal capillaries at least as well as human experts, according to data published in Rheumatology.
“Abnormal capillaries are highly suggestive of an underlying systemic sclerosis (SSc)- spectrum disorder, whereas normal capillaries (in the absence of other clinical features pointing to connective tissue disease) are reassuring,” Praveen Gurunath Bharathi, MD, of the Center for Imaging Sciences in the division of informatics at the University of Manchester, in the

A fully automated analysis of nailfold images was able to distinguish patients with systemic sclerosis from those with normal capillaries at least as well as human experts, according to data published in Rheumatology.
“Abnormal capillaries are highly suggestive of an underlying systemic sclerosis (SSc)- spectrum disorder, whereas normal capillaries (in the absence of other clinical features pointing to connective tissue disease) are reassuring,” Praveen Gurunath Bharathi, MD, of the Center for Imaging Sciences in the division of informatics at the University of Manchester, in the