Demonstrating the False-Positive Paradox in Radiology with Artificial Intelligence: Estimating Clinically Anticipated PPV, FDR, NPV, and FOR of FDA-Cleared Devices Using Performance Metrics from 510(k) Summaries and Prevalences from Local and Published Data.

Sparnon E, Stevens K, Song EC, Harris RJ, Strong BW, Bruno MA, Kim W, Wald C, Baird GL

Open source

DOI
10.1007/s10278-026-02488-9
Published
2026 Nov 9
Container
Journal of imaging informatics in medicine
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1007/s10278-026-02488-9,
  title = {Demonstrating the False-Positive Paradox in Radiology with Artificial Intelligence: Estimating Clinically Anticipated PPV, FDR, NPV, and FOR of FDA-Cleared Devices Using Performance Metrics from 510(k) Summaries and Prevalences from Local and Published Data.},
  author = {Sparnon E and Stevens K and Song EC and Harris RJ and Strong BW and Bruno MA and Kim W and Wald C and Baird GL},
  year = {2026},
  journal = {Journal of imaging informatics in medicine},
  doi = {10.1007/s10278-026-02488-9},
  url = {https://doi.org/10.1007/s10278-026-02488-9}
}

RIS

TY  - JOUR
TI  - Demonstrating the False-Positive Paradox in Radiology with Artificial Intelligence: Estimating Clinically Anticipated PPV, FDR, NPV, and FOR of FDA-Cleared Devices Using Performance Metrics from 510(k) Summaries and Prevalences from Local and Published Data.
AU  - Sparnon E
AU  - Stevens K
AU  - Song EC
AU  - Harris RJ
AU  - Strong BW
AU  - Bruno MA
AU  - Kim W
AU  - Wald C
AU  - Baird GL
PY  - 2026
JO  - Journal of imaging informatics in medicine
DO  - 10.1007/s10278-026-02488-9
UR  - https://doi.org/10.1007/s10278-026-02488-9
ER  - 

APA

E, S., K, S., EC, S., RJ, H., BW, S., MA, B., W, K., C, W., & GL, B. (2026). Demonstrating the False-Positive Paradox in Radiology with Artificial Intelligence: Estimating Clinically Anticipated PPV, FDR, NPV, and FOR of FDA-Cleared Devices Using Performance Metrics from 510(k) Summaries and Prevalences from Local and Published Data.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02488-9

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