Katja Bühler is an Area Coordinator for Complex Systems and Head of the Biomedical Image Informatics Group at the Vienna based Virtual Reality and Visualisation Research Centre VRVis. Before joining VRVis in 2002, she worked as assistant professor at the Institute for Computer Graphics and Algorithms at Vienna University of Technology, where she still acts as external lecturer. She holds a degree in Mathematics from the University of Karlsruhe and a PhD in Technical Sciences (Computer Science) from Vienna University of Technology. Katja Bühler has many years of experience in leading international applied research projects in close cooperation with industry and academia and deepened her knowledge in Strategic R&D Management at INSEAD. In 2012 Katja Bühler and Rainer Wegenkittl received the Austrian science2business award for the management of a successful long term research project with AGFA Healthcare.

Recent advances in Artificial Intelligence have led to some speculation that AI might one day replace medical doctors. Although we tend to overestimate short-term effects, AI is undoubtedly one of the most promising technologies of our times. On the other hand, diagnosis is a very complicated process and, until now, deep learning networks have suffered from technical vulnerabilities and a lack of validation and explanatory capacity. To quote Yuval Harari, philosophers are very patient people, but engineers are far less patient, and investors are the least patient of all. We strongly believe that several stakeholders of the healthcare system, including those with a complete understanding of the intricacies of medical diagnostics and those who hold patient care paramount, need to shape the conversation on the future of clinical imaging.