Responsible Prediction Under Critical Uncertainty: an epistemic analysis of neuroprognostic innovation practices after cardiac arrest

The purpose of this research is to make sure that neuroprognostic innovation improves prognostic practices for patients in coma after cardiac arrest while diminishing potential downsides to a minimum. Ensuring responsible research, development, and implementation of the innovative technology demands we identify, analyze, and address the potential challenges of neuroprognostic innovation.

The main aim of this research is thus to investigate how to ensure responsible innovation of prognostication in postanoxic coma. The novel use of cEEG in prognosis of postanoxic coma serves as my case study as it is the best object of investigation for answering the main research question. Aside from being the most promising prognostic tool for this patient group, it turns out that many of EEGs challenges are challenges that established as well as future prognostic tools face as well.