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Exploring the feasibility of an artificial intelligence based clinical decision support system for cutaneous melanoma detection in primary care - a mixed method study.
Helenason, Jonatan; Ekström, Christoffer; Falk, Magnus; Papachristou, Panagiotis.
Afiliação
  • Helenason J; AI Medical Technology, Stockholm, Sweden.
  • Ekström C; AI Medical Technology, Stockholm, Sweden.
  • Falk M; Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
  • Papachristou P; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Scand J Prim Health Care ; 42(1): 51-60, 2024 Mar.
Article em En | MEDLINE | ID: mdl-37982736
Effective primary care is important for discovering cutaneous melanoma, the deadliest and an increasingly prevalent form of skin cancer. 'Trust', 'usability and user experience', and 'the clinical context' are the qualitative themes that emerged from the qualitative analysis. These areas need to be considered for the successful adoption of AI assisted decision support tools by PCPs.The AI CDSS tool was rated by the PCPs at grade B (average 84.8) on the System Usability Scale (SUS), which is equivalent to 'good' usability.A reader study, (diagnostic assessment on the basis of image interpretation) with 25 PCPs rating dermoscopic images, showed increased value of adding an AI decision support to their clinical assessment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Sistemas de Apoio a Decisões Clínicas / Melanoma Limite: Humans Idioma: En Revista: Scand J Prim Health Care Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Sistemas de Apoio a Decisões Clínicas / Melanoma Limite: Humans Idioma: En Revista: Scand J Prim Health Care Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia