Autoren:	Lunge, Snehal Balvant Shetty, Nandini Sundar Sardesai, Vidyadhar R. Karagaiah, Priyanka Yamauchi, Paul S. Weinberg, Jeffrey Kircik, Leon Giulini, Mario Goldust, Mohamad
Titel:	Therapeutic application of machine learning in psoriasis : a Prisma systematic review
Online-Publikationsdatum:	19-Jan-2023
Erscheinungsdatum:	2022
Sprache des Dokuments:	Englisch
Zusammenfassung/Abstract:	Dermatology, being a predominantly visual-based diagnostic field, has found itself to be at the epitome of artificial intelligence (AI)-based advances. Machine learning (ML), a subset of AI, goes a step further by recognizing patterns from data and teaches machines to automatically learn tasks. Although artificial intelligence in dermatology is mostly developed in melanoma and skin cancer diagnosis, advances in AI and ML have gone far ahead and found its application in ulcer assessment, psoriasis, atopic dermatitis, onychomycosis, etc. This article is focused on the application of ML in the therapeutic aspect of psoriasis.
DDC-Sachgruppe:	610 Medizin 610 Medical sciences
Veröffentlichende Institution:	Johannes Gutenberg-Universität Mainz
Organisationseinheit:	FB 04 Medizin
Veröffentlichungsort:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-8592
Version:	Published version
Publikationstyp:	Zeitschriftenaufsatz
Nutzungsrechte:	CC BY-NC
Informationen zu den Nutzungsrechten:	https://creativecommons.org/licenses/by-nc/4.0/
Zeitschrift:	Journal of cosmetic dermatology Version of Record (VoR)
Verlag:	Wiley-Blackwell
Verlagsort:	Oxford
Erscheinungsdatum:	2022
ISSN:	1473-2165
DOI der Originalveröffentlichung:	10.1111/jocd.15122
Enthalten in den Sammlungen:	DFG-491381577-H