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Patient-led skin cancer teledermatology without dermoscopy during the COVID-19 pandemic: important lessons for the development of future patient-facing teledermatology and artificial intelligence-assisted -self-diagnosis

Lookup NU author(s): Dr Philip Hampton

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Abstract

© 2024 The Author(s). MySkinSelfie is a mobile phone application for skin self-monitoring, enabling secure sharing of patient-captured images with healthcare providers. This retrospective study assessed MySkinSelfie's role in remote skin cancer assessment at two centres for urgent (melanoma and squamous cell carcinoma) and nonurgent skin cancer referrals, investigating the feasibility of using patient-captured images without dermoscopy for remote diagnosis. The total number of lesions using MySkinSelfie was 814, with a mean patient age of 63 years. Remote consultations reduced face-to-face appointments by 90% for basal cell carcinoma and by 63% for referrals on a 2-week waiting list. Diagnostic concordance (consultant vs. histological diagnosis) rates of 72% and 83% were observed for basal cell carcinoma (n = 107) and urgent skin cancers (n = 704), respectively. Challenges included image quality, workflow integration and lack of dermoscopy. Higher sensitivities were observed in recent artificial intelligence algorithms employing dermoscopy. While patient-captured images proved useful during the COVID-19 pandemic, further research is needed to explore the feasibility of widespread patient-led dermoscopy to enable direct patient-to-artificial intelligence diagnostic assessment.


Publication metadata

Author(s): Ali OME, Wright B, Goodhead C, Hampton PJ

Publication type: Article

Publication status: Published

Journal: Clinical and Experimental Dermatology

Year: 2024

Volume: 49

Issue: 9

Pages: 1056-1059

Print publication date: 01/09/2024

Online publication date: 09/04/2024

Acceptance date: 01/04/2024

ISSN (print): 0307-6938

ISSN (electronic): 1365-2230

Publisher: Oxford University Press

URL: https://doi.org/10.1093/ced/llae126

DOI: 10.1093/ced/llae126

PubMed id: 38589979


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