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Review
. 2024 Jan;38(1):22-30.
doi: 10.1111/jdv.19521. Epub 2023 Sep 27.

Position statement of the EADV Artificial Intelligence (AI) Task Force on AI-assisted smartphone apps and web-based services for skin disease

Tobias E Sangers  1 , Harald Kittler  2 , Andreas Blum  3 , Ralph P Braun  4 , Catarina Barata  5 , Alessandra Cartocci  6 , Marc Combalia  7 , Ben Esdaile  8 , Pascale Guitera  9   10   11 , Holger A Haenssle  12 , Niels Kvorning  13 , Aimilios Lallas  14 , Cristian Navarrete-Dechent  15 , Alexander A Navarini  16 , Sebastian Podlipnik  17   18 , Veronica Rotemberg  19 , H Peter Soyer  20 , Linda Tognetti  21 , Philipp Tschandl  2 , Josep Malvehy  22   23 ; EADV AI Task Force
Affiliations
Review

Position statement of the EADV Artificial Intelligence (AI) Task Force on AI-assisted smartphone apps and web-based services for skin disease

Tobias E Sangers et al. J Eur Acad Dermatol Venereol. 2024 Jan.

Abstract

Background: As the use of smartphones continues to surge globally, mobile applications (apps) have become a powerful tool for healthcare engagement. Prominent among these are dermatology apps powered by Artificial Intelligence (AI), which provide immediate diagnostic guidance and educational resources for skin diseases, including skin cancer.

Objective: This article, authored by the EADV AI Task Force, seeks to offer insights and recommendations for the present and future deployment of AI-assisted smartphone applications (apps) and web-based services for skin diseases with emphasis on skin cancer detection.

Methods: An initial position statement was drafted on a comprehensive literature review, which was subsequently refined through two rounds of digital discussions and meticulous feedback by the EADV AI Task Force, ensuring its accuracy, clarity and relevance.

Results: Eight key considerations were identified, including risks associated with inaccuracy and improper user education, a decline in professional skills, the influence of non-medical commercial interests, data security, direct and indirect costs, regulatory approval and the necessity of multidisciplinary implementation. Following these considerations, three main recommendations were formulated: (1) to ensure user trust, app developers should prioritize transparency in data quality, accuracy, intended use, privacy and costs; (2) Apps and web-based services should ensure a uniform user experience for diverse groups of patients; (3) European authorities should adopt a rigorous and consistent regulatory framework for dermatology apps to ensure their safety and accuracy for users.

Conclusions: The utilisation of AI-assisted smartphone apps and web-based services in diagnosing and treating skin diseases has the potential to greatly benefit patients in their dermatology journeys. By prioritising innovation, fostering collaboration and implementing effective regulations, we can ensure the successful integration of these apps into clinical practice.

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References

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