Report for: Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

Title	Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier
Published in	Frontiers in Human Dynamics, July 2021
DOI	10.3389/fhumd.2021.688152
Authors	Roberto V. Zicari, Sheraz Ahmed, Julia Amann, Stephan Alexander Braun, John Brodersen, Frédérick Bruneault, James Brusseau, Erik Campano, Megan Coffee, Andreas Dengel, Boris Düdder, Alessio Gallucci, Thomas Krendl Gilbert, Philippe Gottfrois, Emmanuel Goffi, Christoffer Bjerre Haase, Thilo Hagendorff, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Pedro Kringen, Ulrich Kühne, Adriano Lucieri, Vince I. Madai, Pedro A. Moreno-Sánchez, Oriana Medlicott, Matiss Ozols, Eberhard Schnebel, Andy Spezzatti, Jesmin Jahan Tithi, Steven Umbrello, Dennis Vetter, Holger Volland, Magnus Westerlund, Renee Wurth

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.

Country	Count	As %
Switzerland	1	50%
Unknown	1	50%

Type	Count	As %
Practitioners (doctors, other healthcare professionals)	1	50%
Members of the public	1	50%

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	62	100%

Readers by professional status	Count	As %
Student > Ph. D. Student	16	26%
Researcher	8	13%
Student > Master	7	11%
Unspecified	6	10%
Lecturer	3	5%
Other	8	13%
Unknown	14	23%

Readers by discipline	Count	As %
Business, Management and Accounting	10	16%
Computer Science	7	11%
Social Sciences	6	10%
Unspecified	6	10%
Medicine and Dentistry	3	5%
Other	15	24%
Unknown	15	24%

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier