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

Author:

Sangers Tobias E.1ORCID,Kittler Harald2ORCID,Blum Andreas3,Braun Ralph P.4ORCID,Barata Catarina5,Cartocci Alessandra6ORCID,Combalia Marc7ORCID,Esdaile Ben8,Guitera Pascale91011ORCID,Haenssle Holger A.12ORCID,Kvorning Niels13ORCID,Lallas Aimilios14ORCID,Navarrete‐Dechent Cristian15ORCID,Navarini Alexander A.16ORCID,Podlipnik Sebastian1718ORCID,Rotemberg Veronica19,Soyer H. Peter20ORCID,Tognetti Linda21ORCID,Tschandl Philipp2ORCID,Malvehy Josep2223ORCID,

Affiliation:

1. Department of Dermatology Leiden University Medical Center Leiden The Netherlands

2. Department of Dermatology Medical University of Vienna Vienna Austria

3. Public, Private and Teaching Practice of Dermatology Konstanz Konstanz Germany

4. Department of Dermatology University Hospital Zurich Zurich Switzerland

5. Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal

6. Department of Medical Biotechnologies University of Siena Siena Italy

7. Kenko.ai Barcelona Spain

8. Department of Dermatology Whittington NHS Trust London UK

9. Faculty of Medicine and Health The University of Sydney Sydney New South Wales Australia

10. Sydney Melanoma Diagnostic Centre Royal Prince Alfred Hospital Camperdown New South Wales Australia

11. Melanoma Institute Australia The University of Sydney Sydney New South Wales Australia

12. Department of Dermatology Heidelberg University Medical Center Heidelberg Germany

13. Department of Plastic Surgery Herlev Hospital Herlev Denmark

14. First Department of Dermatology, Faculty of Health Sciences, School of Medicine Aristotle University Thessaloniki Greece

15. Melanoma and Skin Cancer Unit, Department of Dermatology, Escuela de Medicina Pontifica Universidad Catolica de Chile Santiago Chile

16. Department of Dermatology and Department of Biomedical Engineering University Hospital of Basel Basel Switzerland

17. Department of Dermatology, Hospital Clínic University of Barcelona Barcelona Spain

18. Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Barcelona Spain

19. Division of Dermatology, Department of Medicine Memorial Sloan Kettering Cancer Center New York New York USA

20. Frazer Institute, Dermatology Research Centre The University of Queensland Brisbane Queensland Australia

21. Dermatology Unit, Department of Medical, Surgical and Neurosciences University of Siena Siena Italy

22. Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS Universitat de Barcelona Barcelona Spain

23. Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) Barcelona Spain

Abstract

AbstractBackgroundAs 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.ObjectiveThis 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.MethodsAn 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.ResultsEight 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.ConclusionsThe 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.

Publisher

Wiley

Subject

Infectious Diseases,Dermatology

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