Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic review.
- DOI
- 10.1093/bjrai/ubaf016
- Published
- 2025 Jan
- Container
- BJR artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
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
Source records
- pubmed · retrieved 2026-09-26T20:59:06.358Z