How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare.

Journal: Artificial intelligence in medicine
Published Date: Jun 24, 2023

Abstract

BACKGROUND: Medical use cases for machine learning (ML) are growing exponentially. The first hospitals are already using ML systems as decision support systems in their daily routine. At the same time, most ML systems are still opaque and it is not clear how these systems arrive at their predictions.

Authors

  • Johannes Allgaier
  • Lena Mulansky
    Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Germany. Electronic address: lena.mulansky@uni-wuerzburg.de.
  • Rachel Lea Draelos
    Computer Science Department, Duke University, LSRC Building D101, 308 Research Drive, Duke Box 90129, Durham, North Carolina 27708-0129, United States of America; School of Medicine, Duke University, DUMC 3710, Durham, North Carolina 27710, United States of America. Electronic address: rlb61@duke.edu.
  • Rüdiger Pryss
    Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.

Keywords

External Resources

Popular Topics
Recent Journals