Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic review.

Zhao D, Packer T, Jie X, Shahid M, Oke J, Plüddemann A

Open source

DOI
10.1093/bjrai/ubaf016
Published
2025 Jan
Container
BJR artificial intelligence
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1093/bjrai/ubaf016,
  title = {Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic review.},
  author = {Zhao D and Packer T and Jie X and Shahid M and Oke J and Plüddemann A},
  year = {2025},
  journal = {BJR artificial intelligence},
  doi = {10.1093/bjrai/ubaf016},
  url = {https://doi.org/10.1093/bjrai/ubaf016}
}

RIS

TY  - JOUR
TI  - Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic review.
AU  - Zhao D
AU  - Packer T
AU  - Jie X
AU  - Shahid M
AU  - Oke J
AU  - Plüddemann A
PY  - 2025
JO  - BJR artificial intelligence
DO  - 10.1093/bjrai/ubaf016
UR  - https://doi.org/10.1093/bjrai/ubaf016
ER  - 

APA

D, Z., T, P., X, J., M, S., J, O., & A, P. (2025). Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic review.. BJR artificial intelligence. https://doi.org/10.1093/bjrai/ubaf016

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