Can artificial intelligence be used for accurate remote scoring of the Psoriasis Area and Severity Index in adult patients with plaque psoriasis?

de Brito, M; Stevens, B R; Yiu, Z Z N

de Brito, M; Stevens, B R; Yiu, Z Z N.

de Brito M; Centre for Dermatology Research, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK.
Stevens BR; Centre for Dermatology Research, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK.
Yiu ZZN; Centre for Dermatology Research, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK.

Br J Dermatol ; 185(6): 1262-1264, 2021 12.

Article in English | MEDLINE | ID: covidwho-1343823

Subject(s)

Artificial Intelligence; Psoriasis; Adult; Humans; Psoriasis/diagnosis; Severity of Illness Index

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Psoriasis / Artificial Intelligence Type of study: Diagnostic study / Prognostic study Limits: Adult / Humans Language: English Journal: Br J Dermatol Year: 2021 Document Type: Article Affiliation country: Bjd.20663

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