From patient data to services: What be generated from such data? What possibilities for AI for imaging do exist? What predictions for patients can be made with AI? What needs have to be considered? Startups and companies talk about current topics about Patient Data as a service, but also safety issues should not be ignored

•  Gertrud Hierzer, T-Systems, Patient Data as a Service –  a blessing in disguise

• Diether Kramer, KAGes, Predicting Health - Machine Learning in clinical daily routine

• Michael Mayrhofer-Reinhartshuber, KML Vision, IKOSA®: Artificial Intelligence for images offered as a global service

• Peter Gasteiner, SteadySense, Cutting-edge wireless sensor technology for medical applications

•  Robert Jankovics, Head of Security Audit & Assessment, Kapsch BusinessCom, Patient Data. Humans as Information nodes – Cyber Security Aspects

• Thomas Kau | Head of the Institute of Radiology at the General Hospital of Villach, Austria: Why AI will rather complement than replace radiologists – and how