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This paper is in the following e-collection/theme issue:

Digital Health Reviews (1872) Quality/Credibility of eHealth Information and Trust Issues (685) Imaging Informatics (351) Machine Learning (2306) Artificial Intelligence (2453) Cancer Prognosis Models and Machine Learning (89) Medical imaging (144)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80645, first published .
Doctor analyzes lung scan showing a tumor on a digital display.

Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration

Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration

Authors of this article:

Dimitris Fotopoulos1 Author Orcid Image ;   Ioannis Ladakis1 Author Orcid Image ;   Dimitrios Filos1 Author Orcid Image ;   Pedro A Moreno-Sánchez2, 3 Author Orcid Image ;   Mark van Gils2 Author Orcid Image ;   Ioanna Chouvarda1 Author Orcid Image
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Dimitris Fotopoulos   1 , MSc ;   Ioannis Ladakis   1 , MSc ;   Dimitrios Filos   1 , PhD ;   Pedro A Moreno-Sánchez   2, 3 , PhD ;   Mark van Gils   2 , PhD ;   Ioanna Chouvarda   1 , PhD

1 Laboratory of Computing, Medical Informatics and Biomedical - Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

2 Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

3 Basque Research & Technology Alliance (BRTA), TECNALIA, Derio, Basque Country, Spain

Corresponding Author:

  • Dimitris Fotopoulos, MSc
  • Laboratory of Computing, Medical Informatics and Biomedical - Imaging Technologies
  • School of Medicine, Aristotle University of Thessaloniki
  • AUTh Campus
  • Thessaloniki 54124
  • Greece
  • Phone: 30 2310999272
  • Email: difoto@auth.gr