New paper: AI explainability in healthcare
This paper assesses the role of explainability in medical AI by using a multidisciplinary approach.
The lack of explainability in the application of artificial intelligence (AI) in healthcare continues to spark criticism. This paper adopts a multidisciplinary approach to analyse the relevance of explainability for medical AI from the technological, legal, medical, and patient perspectives. It also makes an ethical evaluation of what explainability means for the adoption of AI-driven tools into clinical practice.
Research and paper by the team of Julia Amann, Alessandro Blasimme, Effy Vayena, of our lab, and our Precise4Q partners Dietmar Frey and Vince I. Madai, of Charité Berlin.
The paper is open access, so check it out in full external pageherecall_made.