Publications by authors named "Antonella Melina"

Introduction: The evaluation of Acne using ordinal scales reflects the clinical perception of severity but has shown low reproducibility both intra- and inter-rater. In this study, we investigated if Artificial Intelligence trained on images of Acne patients could perform acne grading with high accuracy and reliabilities superior to those of expert physicians.

Methods: 479 patients with acne grading ranging from clear to severe and sampled from three ethnic groups participated in this study.

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