Decoding the "black-box": explainable artificial intelligence towards trustworthy advancement in respiratory medicine.

Marchi G

DOI: 10.1183/20734735.0318-2025
Published: 2026 Jan
Container: Breathe (Sheffield, England)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1183/20734735.0318-2025,
  title = {Decoding the "black-box": explainable artificial intelligence towards trustworthy advancement in respiratory medicine.},
  author = {Marchi G},
  year = {2026},
  journal = {Breathe (Sheffield, England)},
  doi = {10.1183/20734735.0318-2025},
  url = {https://doi.org/10.1183/20734735.0318-2025}
}

RIS

TY  - JOUR
TI  - Decoding the "black-box": explainable artificial intelligence towards trustworthy advancement in respiratory medicine.
AU  - Marchi G
PY  - 2026
JO  - Breathe (Sheffield, England)
DO  - 10.1183/20734735.0318-2025
UR  - https://doi.org/10.1183/20734735.0318-2025
ER  -

APA

G, M. (2026). Decoding the "black-box": explainable artificial intelligence towards trustworthy advancement in respiratory medicine.. Breathe (Sheffield, England). https://doi.org/10.1183/20734735.0318-2025

Source records

pubmed · retrieved 2026-09-25T16:43:45.620Z