Artificial Intelligence for the Objective Evaluation of Acne Investigator Global Assessment.

Journal: Journal of drugs in dermatology : JDD

Published Date: Sep 1, 2018

Abstract

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.

Authors

Antonella Melina
Nhan Ngo Dinh
Benedetta Tafuri
Giusy Schipani
Steven Nisticò
Carlo Cosentino
Francesco Amato

Department of Electrical Engineering and Information Technology, University of Naples "Federico II", Naples, Italy.
Diane Thiboutot
Andrea Cherubini

Keywords

Acne Vulgaris Adolescent Adult Artificial Intelligence Child Facial Dermatoses Female Humans Image Interpretation, Computer-Assisted Male Middle Aged Observer Variation Reproducibility of Results Severity of Illness Index Young Adult

External Resources

View on PubMed PubMed (30235389)

Artificial Intelligence for the Objective Evaluation of Acne Investigator Global Assessment.

Abstract

Authors

Keywords

External Resources

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