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 Harald KittlerAndreas BlumRalph P BraunCatarina BarataAlessandra Cartocci Marc CombaliaBen EsdaileRichard A Scolyer Holger A Haenssle Niels Kvorning Ternov Aimillios Lallas Cristian Navarrete-Dechent Alexander A Navarini Sebastian PodlipnikVeronica RotembergHans Peter Soyer Linda Tognetti Philipp Tschandl Josep Malvehy Guileranull null

Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2023)

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.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
end stage renal disease
healthcare
clinical practice
primary care
newly diagnosed
ejection fraction
chronic kidney disease
mental health
peritoneal dialysis