TY  - GEN 
AU  - Holzinger, Andreas
AU  - Dehmer, Matthias
AU  - Emmert-Streib, Frank
AU  - Cucchiara, Rita
AU  - Augenstein, Isabelle
AU  - Del Ser, Javier
AU  - Samek, Wojciech
AU  - Jurisica, Igor
AU  - Díaz Rodríguez, Natalia Ana
PY  - 2021
UR  - http://hdl.handle.net/10481/72110
AB  - Medical artificial intelligence (AI) systems have been remarkably successful, even outperforming human
performance at certain tasks. There is no doubt that AI is important to improve human health in many ways
and will disrupt various medical...
LA  - eng
PB  - Elsevier
KW  - Artificial intelligence
KW  - Information fusion
KW  - Medical AI
KW  - Explainable AI
KW  - Robustness
KW  - Explainability
KW  - Trust
KW  - Graph-based machine learning
KW  - Neural-symbolic learning and reasoning
TI  - Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
DO  - 10.1016/j.inffus.2021.10.007
ER  -