Artificial intelligence in dermatology

Chandler W. Rundle, Parker Hollingsworth, Robert P. Dellavalle

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Dermatology and medicine are producing data at an increasing rate that are progressively difficult to sort and manage. Artificial intelligence (AI) and machine learning are examples of tools that may have the capability to produce significant and meaningful results from these data. Currently, AI and machine learning have a variety of applications in medicine including, but not limited to, diagnostics, patient management, preventive medicine, and genomic analysis. Although the role of AI in dermatology is greater than ever, its use is still extremely limited. As AI is continually developed and implemented, it is essential that stakeholders understand AI terminology, applications, limitations, and projected uses in dermatology. With the continued development of AI technology, however, its implementation may afford greater dermatologist efficiency, greater increased patient access to dermatologic care, and improved patient outcomes.

Original languageEnglish (US)
Pages (from-to)657-666
Number of pages10
JournalClinics in Dermatology
Volume39
Issue number4
DOIs
StatePublished - Jul 1 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021

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