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Position statement of the EADV Artificial Intelligence (AI) Task Force on AI-assisted smartphone apps and web-based services for skin disease.
Sangers, Tobias E; Kittler, Harald; Blum, Andreas; Braun, Ralph P; Barata, Catarina; Cartocci, Alessandra; Combalia, Marc; Esdaile, Ben; Guitera, Pascale; Haenssle, Holger A; Kvorning, Niels; Lallas, Aimilios; Navarrete-Dechent, Cristian; Navarini, Alexander A; Podlipnik, Sebastian; Rotemberg, Veronica; Soyer, H Peter; Tognetti, Linda; Tschandl, Philipp; Malvehy, Josep.
Afiliación
  • Sangers TE; Department of Dermatology, Leiden University Medical Center, Leiden, The Netherlands.
  • Kittler H; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Blum A; Public, Private and Teaching Practice of Dermatology Konstanz, Konstanz, Germany.
  • Braun RP; Department of Dermatology, University Hospital Zurich, Zurich, Switzerland.
  • Barata C; Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
  • Cartocci A; Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Combalia M; Kenko.ai, Barcelona, Spain.
  • Esdaile B; Department of Dermatology, Whittington NHS Trust, London, UK.
  • Guitera P; Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Haenssle HA; Sydney Melanoma Diagnostic Centre, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
  • Kvorning N; Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.
  • Lallas A; Department of Dermatology, Heidelberg University Medical Center, Heidelberg, Germany.
  • Navarrete-Dechent C; Department of Plastic Surgery, Herlev Hospital, Herlev, Denmark.
  • Navarini AA; First Department of Dermatology, Faculty of Health Sciences, School of Medicine, Aristotle University, Thessaloniki, Greece.
  • Podlipnik S; Melanoma and Skin Cancer Unit, Department of Dermatology, Escuela de Medicina, Pontifica Universidad Catolica de Chile, Santiago, Chile.
  • Rotemberg V; Department of Dermatology and Department of Biomedical Engineering, University Hospital of Basel, Basel, Switzerland.
  • Soyer HP; Department of Dermatology, Hospital Clínic, University of Barcelona, Barcelona, Spain.
  • Tognetti L; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
  • Tschandl P; Division of Dermatology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Malvehy J; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
J Eur Acad Dermatol Venereol ; 38(1): 22-30, 2024 Jan.
Article en En | MEDLINE | ID: mdl-37766502
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Aplicaciones Móviles Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: J Eur Acad Dermatol Venereol Asunto de la revista: DERMATOLOGIA / DOENCAS SEXUALMENTE TRANSMISSIVEIS Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Aplicaciones Móviles Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: J Eur Acad Dermatol Venereol Asunto de la revista: DERMATOLOGIA / DOENCAS SEXUALMENTE TRANSMISSIVEIS Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido