Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review-Reference-Cited by-同舟云学术

Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review

Published:2024-06-13 Issue:3 Volume:13 Page:141-147
ISSN:2162-4933
Container-title:Current Dermatology Reports
language:en
Short-container-title:Curr Derm Rep

Author:

Smith Payton^ORCID,Johnson Chandler E.^ORCID,Haran Kathryn^ORCID,Orcales Faye^ORCID,Kranyak Allison^ORCID,Bhutani Tina^ORCID,Riera-Monroig Josep^ORCID,Liao Wilson^ORCID

Abstract

Abstract Purpose of Review Machine learning (ML), a subset of artificial intelligence (AI), has been vital in advancing tasks such as image classification and speech recognition. Its integration into clinical medicine, particularly dermatology, offers a significant leap in healthcare delivery. Recent Findings This review examines the impact of ML on psoriasis—a condition heavily reliant on visual assessments for diagnosis and treatment. The review highlights five areas where ML is reshaping psoriasis care: diagnosis of psoriasis through clinical and dermoscopic images, skin severity quantification, psoriasis biomarker identification, precision medicine enhancement, and AI-driven education strategies. These advancements promise to improve patient outcomes, especially in regions lacking specialist care. However, the success of AI in dermatology hinges on dermatologists’ oversight to ensure that ML’s potential is fully realized in patient care, preserving the essential human element in medicine. Summary This collaboration between AI and human expertise could define the future of dermatological treatments, making personalized care more accessible and precise.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13671-024-00434-y.pdf

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