Reframing the responsibility gap in medical artificial intelligence: insights from causal selection and authorship attribution.

Barman KG, Pawlowski P, Debrabander J

DOI: 10.1136/jme-2024-110600
Published: 2026 May 5
Container: Journal of medical ethics
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1136/jme-2024-110600,
  title = {Reframing the responsibility gap in medical artificial intelligence: insights from causal selection and authorship attribution.},
  author = {Barman KG and Pawlowski P and Debrabander J},
  year = {2026},
  journal = {Journal of medical ethics},
  doi = {10.1136/jme-2024-110600},
  url = {https://doi.org/10.1136/jme-2024-110600}
}

RIS

TY  - JOUR
TI  - Reframing the responsibility gap in medical artificial intelligence: insights from causal selection and authorship attribution.
AU  - Barman KG
AU  - Pawlowski P
AU  - Debrabander J
PY  - 2026
JO  - Journal of medical ethics
DO  - 10.1136/jme-2024-110600
UR  - https://doi.org/10.1136/jme-2024-110600
ER  -

APA

KG, B., P, P., & J, D. (2026). Reframing the responsibility gap in medical artificial intelligence: insights from causal selection and authorship attribution.. Journal of medical ethics. https://doi.org/10.1136/jme-2024-110600

Source records

pubmed · retrieved 2026-09-26T01:24:16.327Z
europe-pmc · retrieved 2026-09-26T01:24:16.346Z