Explainable Clinical Visualization

Explainable Clinical Visualization is a clinical visualization method that, as an instance of visual representation in healthcare informatics, incorporates transparent, interpretable mechanisms to explicitly convey the rationale underlying data-driven clinical insights, thereby enabling users to understand, trust, and act upon the visualized evidence.

5

Publications

131

Citations

28

Authors

15

Institutions

Publications per year

2017–2026

4

Authors

28

  1. SR
    Scott R. Walter

    UNSW Sydney, Australia

    1 publications · 18 citations

    1

    h-index

  2. MH
    Marisa H. Fisher

    Michigan State University, United States

    1 publications · 30 citations

    1

    h-index

  3. MA
    Mitchell A. Medow

    The Ohio State University, United States

    1 publications · 12 citations

    1

    h-index

  4. MS
    Marc Streit

    Johannes Kepler University of Linz, Austria

    1 publications · 36 citations

    1

    h-index

  5. KJ
    Kailie J. Kipfmiller

    Michigan State University, United States

    1 publications · 30 citations

    1

    h-index

1–5 of 28

Venues

  1. Computers & Graphics

    2 publications · 71 citations

    2

    h-index

  2. Journal of Behavioral Education

    1 publications · 30 citations

    1

    h-index

  3. Applied Ergonomics

    1 publications · 18 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 12 citations

    1

    h-index

1–4