Explainability and Interpretability: Keys to Deep Medicine

Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Deep medicine, which aims to push the boundaries of artificial intelligence to reshape the health and medical intelligence and decision making, is a promising concept that is gaining attention over traditional EMR-based medical information management systems. The success of intelligent solutions in health and medicine depends on the degree to which they support interoperability, to allow consistent integration of different systems and data sources, and explainability, to make their decisions understandable, interpretable, and justifiable by humans.

Original languageEnglish (US)
Title of host publicationExplainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability
EditorsArash Shaban-Nejad, Martin Michalowski, David L. Buckeridge
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-10
Number of pages10
ISBN (Print)9783030533519
DOIs
StatePublished - Nov 3 2020
EventAAAI International Workshop on Health Intelligence, W3PHIAI 2020 - New York City, United States
Duration: Feb 7 2020Feb 7 2020

Publication series

NameStudies in Computational Intelligence
Volume914
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

ConferenceAAAI International Workshop on Health Intelligence, W3PHIAI 2020
Country/TerritoryUnited States
CityNew York City
Period2/7/202/7/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Deep medicine
  • Explainable AI
  • Interpretability
  • Precision medicine

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