Forschung

AG Ethik und Theorie der Digitalisierung im Gesundheitswesen

DESIREE - DEcision Support In Routine and Emergency HEalth Care: Ethical and Social Implications

BMBF-Verbundprojekt, Laufzeit 2020-2023

Levels of explicability for medical artificial intelligence: What do we need and what can we get?

The umbrella term explicability refers to efforts to reduce the black box character of artificial intelligence (AI) systems. These efforts are considered crucial for diagnostic AI applications because there are tradeoffs between accuracy and opacity. The centrality of explicability invites to reflect on the ethical requirements for diagnostic AI systems. These requirements originate from the fiduciary doctor-patient-relationship and contain aspects of informed consent. The aim of the project is to determine the levels of explicability required for ethically defensible informed consent processes and how they can technically be met by developers of medical AI.

The false Dichotomy of Competition and Cooperation: How Artificial Intelligence will shape the new Role of Radiologists

The debate about the impact of artificial intelligence (AI) on the role of radiologists created identity-threatening fears of to be replaced by machines. Radiologists replied that there would only be an augmentation of the radiological workflow by AI. The project will extract, synthesize, and analyze the ethical implications for professionalism of the arguments against the hypothesis that AI systems will replace radiologists.

Hologram techniques for Digital Surgery: An Analysis of Ethical Issues of intraoperatively applied Mixed and Augmented Reality Technologies

Head-mounted displays that superimpose holograms onto patients are of particular surgical interest, as they are believed to dramatically change surgical standards and techniques in the future. The project will explore and analyze the ethical issues of newly introduced mixed and augmented reality technologies in surgical intervention in the operating room.