Editorial: From black-box to clarity in lesion diagnostics: clinical causal cognition led interpretable diagnostic AI systems.

Zhang D, Guo Y, Liu X, Lin L

Open source

DOI
10.3389/fmed.2026.1962644
Published
2026
Container
Frontiers in medicine
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fmed.2026.1962644,
  title = {Editorial: From black-box to clarity in lesion diagnostics: clinical causal cognition led interpretable diagnostic AI systems.},
  author = {Zhang D and Guo Y and Liu X and Lin L},
  year = {2026},
  journal = {Frontiers in medicine},
  doi = {10.3389/fmed.2026.1962644},
  url = {https://doi.org/10.3389/fmed.2026.1962644}
}

RIS

TY  - JOUR
TI  - Editorial: From black-box to clarity in lesion diagnostics: clinical causal cognition led interpretable diagnostic AI systems.
AU  - Zhang D
AU  - Guo Y
AU  - Liu X
AU  - Lin L
PY  - 2026
JO  - Frontiers in medicine
DO  - 10.3389/fmed.2026.1962644
UR  - https://doi.org/10.3389/fmed.2026.1962644
ER  - 

APA

D, Z., Y, G., X, L., & L, L. (2026). Editorial: From black-box to clarity in lesion diagnostics: clinical causal cognition led interpretable diagnostic AI systems.. Frontiers in medicine. https://doi.org/10.3389/fmed.2026.1962644

Source records