Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic review.
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| Title: | Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic review. |
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| Authors: | Zhao D; University of Oxford Medical Science Division, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom., Packer T; University of Oxford Medical Science Division, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom., Jie X; University of Oxford Medical Science Division, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom., Shahid M; University of Oxford Medical Science Division, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom., Oke J; Abbott Diabetes Care Ltd, Witney, OX29 0YL, United Kingdom., Plüddemann A; Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, OX2 6GG, United Kingdom. |
| Source: | BJR artificial intelligence [BJR Artif Intell] 2025 Nov 13; Vol. 2 (1), pp. ubaf016. Date of Electronic Publication: 2025 Nov 13 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Published by Oxford University Press on behalf of the British Institute of Radiology Country of Publication: England NLM ID: 9918786087206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2976-8705 (Electronic) Linking ISSN: 29768705 NLM ISO Abbreviation: BJR Artif Intell Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2976-8705 |
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| DOI: | 10.1093/bjrai/ubaf016 |
