Trustworthy AI in medical image analysis: A unified perspective built on robustness and layers of trust
- DOI
- 10.1016/j.cobme.2026.100649
- Published
- 2026-03
- Container
- Current Opinion in Biomedical Engineering
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cobme.2026.100649,
title = {Trustworthy AI in medical image analysis: A unified perspective built on robustness and layers of trust},
author = {Maria A. Zuluaga and Ivana Išgum and Meritxell Bach Cuadra},
year = {2026},
journal = {Current Opinion in Biomedical Engineering},
doi = {10.1016/j.cobme.2026.100649},
url = {https://doi.org/10.1016/j.cobme.2026.100649}
}RIS
TY - JOUR TI - Trustworthy AI in medical image analysis: A unified perspective built on robustness and layers of trust AU - Maria A. Zuluaga AU - Ivana Išgum AU - Meritxell Bach Cuadra PY - 2026 JO - Current Opinion in Biomedical Engineering DO - 10.1016/j.cobme.2026.100649 UR - https://doi.org/10.1016/j.cobme.2026.100649 ER -
APA
Zuluaga, M. A., Išgum, I., & Cuadra, M. B. (2026). Trustworthy AI in medical image analysis: A unified perspective built on robustness and layers of trust. Current Opinion in Biomedical Engineering. https://doi.org/10.1016/j.cobme.2026.100649
Source records
- crossref · retrieved 2026-11-10T18:52:36.543Z