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Artificial intelligence in psoriasis: Where we are and where we are going.
Liu, Zhenhua; Wang, Xinyu; Ma, Yao; Lin, Yiting; Wang, Gang.
Afiliação
  • Liu Z; Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Wang X; Department of Dermatology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
  • Ma Y; Department of Economics, Finance and Healthcare Administration, Valdosta State University, Valdosta, Georgia, USA.
  • Lin Y; Student Brigade of Basic Medicine School, Fourth Military Medical University, Xi'an, China.
  • Wang G; Department of Dermatology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Exp Dermatol ; 32(11): 1884-1899, 2023 11.
Article em En | MEDLINE | ID: mdl-37740587
ABSTRACT
Artificial intelligence (AI) is a field of computer science that involves the development of programs designed to replicate human cognitive processes and the analysis of complex data. In dermatology, which is predominantly a visual-based diagnostic field, AI has become increasingly important in improving professional processes, particularly in the diagnosis of psoriasis. In this review, we summarized current AI applications in psoriasis (i) diagnosis, including identification, classification, lesion segmentation, lesion severity and area scoring; (ii) treatment, including prediction treatment efficiency and prediction candidate drugs; (iii) management, including e-health and preventive medicine. Key challenges and future aspects of AI in psoriasis were also discussed, in hope of providing potential directions for future studies.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psoríase / Inteligência Artificial Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psoríase / Inteligência Artificial Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article