Principles, applications, and future of artificial intelligence in dermatology

This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We focus our discussion on methodology, AI applications for various skin diseases, limitations, and future opportunities. We review how the current image-based models are being implemented in dermatology acro...

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Autores principales: Omiye, Jesutofunmi A., Gui, Haiwen, Daneshjou, Roxana, Cai, Zhuo Ran, Muralidharan, Vijaytha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602645/
https://www.ncbi.nlm.nih.gov/pubmed/37901399
http://dx.doi.org/10.3389/fmed.2023.1278232
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author Omiye, Jesutofunmi A.
Gui, Haiwen
Daneshjou, Roxana
Cai, Zhuo Ran
Muralidharan, Vijaytha
author_facet Omiye, Jesutofunmi A.
Gui, Haiwen
Daneshjou, Roxana
Cai, Zhuo Ran
Muralidharan, Vijaytha
author_sort Omiye, Jesutofunmi A.
collection PubMed
description This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We focus our discussion on methodology, AI applications for various skin diseases, limitations, and future opportunities. We review how the current image-based models are being implemented in dermatology across disease subsets, and highlight the challenges facing widespread adoption. Additionally, we discuss how the future of AI in dermatology might evolve and the emerging paradigm of large language, and multi-modal models to emphasize the importance of developing responsible, fair, and equitable models in dermatology.
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spelling pubmed-106026452023-10-27 Principles, applications, and future of artificial intelligence in dermatology Omiye, Jesutofunmi A. Gui, Haiwen Daneshjou, Roxana Cai, Zhuo Ran Muralidharan, Vijaytha Front Med (Lausanne) Medicine This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We focus our discussion on methodology, AI applications for various skin diseases, limitations, and future opportunities. We review how the current image-based models are being implemented in dermatology across disease subsets, and highlight the challenges facing widespread adoption. Additionally, we discuss how the future of AI in dermatology might evolve and the emerging paradigm of large language, and multi-modal models to emphasize the importance of developing responsible, fair, and equitable models in dermatology. Frontiers Media S.A. 2023-10-12 /pmc/articles/PMC10602645/ /pubmed/37901399 http://dx.doi.org/10.3389/fmed.2023.1278232 Text en Copyright © 2023 Omiye, Gui, Daneshjou, Cai and Muralidharan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Omiye, Jesutofunmi A.
Gui, Haiwen
Daneshjou, Roxana
Cai, Zhuo Ran
Muralidharan, Vijaytha
Principles, applications, and future of artificial intelligence in dermatology
title Principles, applications, and future of artificial intelligence in dermatology
title_full Principles, applications, and future of artificial intelligence in dermatology
title_fullStr Principles, applications, and future of artificial intelligence in dermatology
title_full_unstemmed Principles, applications, and future of artificial intelligence in dermatology
title_short Principles, applications, and future of artificial intelligence in dermatology
title_sort principles, applications, and future of artificial intelligence in dermatology
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602645/
https://www.ncbi.nlm.nih.gov/pubmed/37901399
http://dx.doi.org/10.3389/fmed.2023.1278232
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