Artificial intelligence-assisted multimodal imaging for the clinical applications of breast cancer: a bibliometric analysis.

Hou C, Huang T, Hu K, Ye Z, Guo J, Zhou H

Open source

DOI
10.1007/s12672-025-02329-1
Published
2025 Apr 16
Container
Discover oncology
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:10.1007/s12672-025-02329-1,
  title = {Artificial intelligence-assisted multimodal imaging for the clinical applications of breast cancer: a bibliometric analysis.},
  author = {Hou C and Huang T and Hu K and Ye Z and Guo J and Zhou H},
  year = {2025},
  journal = {Discover oncology},
  doi = {10.1007/s12672-025-02329-1},
  url = {https://doi.org/10.1007/s12672-025-02329-1}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-assisted multimodal imaging for the clinical applications of breast cancer: a bibliometric analysis.
AU  - Hou C
AU  - Huang T
AU  - Hu K
AU  - Ye Z
AU  - Guo J
AU  - Zhou H
PY  - 2025
JO  - Discover oncology
DO  - 10.1007/s12672-025-02329-1
UR  - https://doi.org/10.1007/s12672-025-02329-1
ER  - 

APA

C, H., T, H., K, H., Z, Y., J, G., & H, Z. (2025). Artificial intelligence-assisted multimodal imaging for the clinical applications of breast cancer: a bibliometric analysis.. Discover oncology. https://doi.org/10.1007/s12672-025-02329-1

Source records