Position statement of the <scp>EADV</scp> Artificial Intelligence (<scp>AI</scp>) Task Force on <scp>AI</scp>‐assisted smartphone apps and web‐based services for skin disease
Tobias E. Sangers(Leiden University Medical Center), Linda Tognetti(University of Siena), Catarina Barata(INESC TEC), Ben Esdaile(Whittington Health NHS Trust), H. Peter Soyer, Ralph P. Braun, Philipp Tschandl(St Anna Children's Hospital), Alexander A. Navarini(University Hospital of Basel), Josep Malvehy(Instituto de Salud Carlos III), Sebastián Podlipnik(Universitat de Barcelona), Aimilios Lallas(Aristotle University of Thessaloniki), Alessandra Cartocci(University of Siena), Pascale Guitera(The University of Sydney), Cristián Navarrete‐Dechent(Pontificia Universidad Católica de Chile), Holger A. Haenssle(Heidelberg University), Veronica Rotemberg(Memorial Sloan Kettering Cancer Center), Marc Combalia, Andreas Blum(Klinikum Konstanz), Harald Kittler(St Anna Children's Hospital), Niels Kvorning(Herlev Hospital)
Cited by 52
Related Papers
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
|arXiv (Cornell University)|2019|990
Diagnosis and treatment of basal cell carcinoma: European consensus–based interdisciplinary guidelines
|European Journal of Cancer|2019|589
The Impact of In Vivo Reflectance Confocal Microscopy for the Diagnostic Accuracy of Melanoma and Equivocal Melanocytic Lesions
|Journal of Investigative Dermatology|2007|444
Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms
|JAMA Dermatology|2021|362
Large language models propagate race-based medicine
|npj Digital Medicine|2023|340