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.
Artificial Intelligence for the Objective Evaluation of Acne Investigator Global Assessment / Melina, Antonella; Dinh, Nhan Ngo; Tafuri, Benedetta; Schipani, Giusy; Nisticò, Steven; Cosentino, Carlo; Amato, Francesco; Thiboutot, Diane; Cherubini, Andrea. - In: JOURNAL OF DRUGS IN DERMATOLOGY. - ISSN 1545-9616. - 17:9(2018), p. 1006-1009.
Artificial Intelligence for the Objective Evaluation of Acne Investigator Global Assessment
Amato, Francesco;
2018
Abstract
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.| File | Dimensione | Formato | |
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