reviewSensorsJan 5, 2023GOLD OA

Survey of Explainable AI Techniques in Healthcare

Guilin University of Electronic Technology · École de Technologie Supérieure · +1 more institution

PubMed
Indexed incrossrefdoajpubmed

Abstract

Artificial intelligence (AI) with deep learning models has been widely applied in numerous domains, including medical imaging and healthcare tasks. In the medical field, any judgment or decision is fraught with risk. A doctor will carefully judge whether a patient is sick before forming a reasonable explanation based on the patient's symptoms and/or an examination. Therefore, to be a viable and accepted tool, AI needs to mimic human judgment and interpretation skills. Specifically, explainable AI (XAI) aims to explain the information behind the black-box model of deep learning that reveals how the decisions are made. This paper provides a survey of the most recent XAI techniques used in healthcare and related…

Citation impact

516
total citations
FWCI
85.49
Percentile
100%
References
120
Citations per year

Authors

4

Topics & keywords

Keywords
  • Interpretability
  • Deep learning
  • Categorization
  • Health care
  • Computer science
  • Field (mathematics)
  • Artificial intelligence
  • Data science
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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