Frontiers in Human Dynamics, 3 Zicari, R V, Ahmed, S, Amann, J, Braun, S A, Brodersen, J, Bruneault, F, Brusseau, J, Campano, E, Coffee, M, Dengel, A, Düdder, B, Gallucci, A, Gilbert, T K, Gottfrois, P, Goffi, E, Haase, C B, Hagendorff, T, Hickman, E, Hildt, E, Holm, S, Kringen, P, Kühne, U, Lucieri, A, Madai, V I, Moreno-Sánchez, P A, Medlicott, O, Ozols, M, Schnebel, E, Spezzatti, A, Tithi, J J, Umbrello, S, Vetter, D, Volland, H, Westerlund, M & Wurth, R 2021, ' Co-design of a trustworthy AI system in healthcare : Deep learning based skin lesion classifier ', Frontiers in Human Dynamics, vol. 3, 688152 . https://doi.org/10.3389/fhumd.2021.688152 Zicari, R V, Ahmed, S, Amann, J, Braun, S A, Brodersen, J, Bruneault, F, Brusseau, J, Campano, E, Coffee, M, Dengel, A, Düdder, B, Gallucci, A, Gilbert, T K, Gottfrois, P, Goffi, E, Haase, C B, Hagendorff, T, Hickman, E, Hildt, E, Holm, S, Kringen, P, Kühne, U, Lucieri, A, Madai, V I, Moreno-Sánchez, P A, Medlicott, O, Ozols, M, Schnebel, E, Spezzatti, A, Tithi, J J, Umbrello, S, Vetter, D, Volland, H, Westerlund, M & Wurth, R 2021, ' Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier ', Frontiers in Human Dynamics, vol. 3 . https://doi.org/10.3389/fhumd.2021.688152 Frontiers in Human Dynamics, 3:688152. Frontiers Media S.A.
Zicari, R V, Brusseau, J, Blomberg, S N, Christensen, H C, Coffee, M, Ganapini, M B, Gerke, S, Gilbert, T K, Hickman, E, Hildt, E, Holm, S, Kühne, U, Madai, V I, Osika, W, Spezzatti, A, Schnebel, E, Tithi, J J, Vetter, D, Westerlund, M, Wurth, R, Amann, J, Antun, V, Beretta, V, Bruneault, F, Campano, E, Düdder, B, Gallucci, A, Goffi, E, Haase, C B, Hagendorff, T, Kringen, P, Möslein, F, Ottenheimer, D, Ozols, M, Palazzani, L, Petrin, M, Tafur, K, Tørresen, J, Volland, H & Kararigas, G 2021, ' On assessing trustworthy AI in healthcare : Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls ', Frontiers in Human Dynamics, vol. 3, 673104 . https://doi.org/10.3389/fhumd.2021.673104