Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

20201,680 citationsJournal Articlegold Open Access

Authors

Dietmar Frey · Charité - Universitätsmedizin Berlin

Vince I. Madai · Birmingham City University

Abstract

To ensure that medical AI lives up to its promises, there is a need to sensitize developers, healthcare professionals, and legislators to the challenges and limitations of opaque algorithms in medical AI and to foster multidisciplinary collaboration moving forward.

Topics & Keywords

Artificial Intelligence in Healthcare and Education Explainable Artificial Intelligence (XAI)Ethics in Clinical Research

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: BMC Medical Informatics and Decision Making

Volume 20, Issue 1, pp. 310-310

DOI: 10.1186/s12911-020-01332-6

Field-Weighted Citation Impact: 38.13