Competition or Collaboration? Ethical aspects of clinical decision support systems

ML-driven decision support systems are increasingly being used in many fields of clinical care and are associated with the aim of improving the quality of diagnostics and therapy. Ethical analyzes of the technology often refer to questions of comprehensibility and the possible worse treatment of individual patient groups. In addition, there are also deeper questions of human-machine interaction in everyday clinical practice, which will be dealt with in the talk: How are the roles of the patient and the doctor changing in view of the increasingly powerful machine support? Is the machine a tool, colleague or competitor? How to ensure the trusted use of ML-powered decision support systems to improve patient care?