Real-world assessment of a deep learning neural network algorithm for prostate cancer detection in MRI using true de novo data.

Shea SM, Wesolowski M, Hashem A, Goldberg A, Joyce C, Gupta G, Grimm R, von Busch H, Lou B, Kamen A

DOI: 10.1002/mp.70614
Published: 2026 Aug
Container: Medical physics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/mp.70614,
  title = {Real-world assessment of a deep learning neural network algorithm for prostate cancer detection in MRI using true de novo data.},
  author = {Shea SM and Wesolowski M and Hashem A and Goldberg A and Joyce C and Gupta G and Grimm R and von Busch H and Lou B and Kamen A},
  year = {2026},
  journal = {Medical physics},
  doi = {10.1002/mp.70614},
  url = {https://doi.org/10.1002/mp.70614}
}

RIS

TY  - JOUR
TI  - Real-world assessment of a deep learning neural network algorithm for prostate cancer detection in MRI using true de novo data.
AU  - Shea SM
AU  - Wesolowski M
AU  - Hashem A
AU  - Goldberg A
AU  - Joyce C
AU  - Gupta G
AU  - Grimm R
AU  - von Busch H
AU  - Lou B
AU  - Kamen A
PY  - 2026
JO  - Medical physics
DO  - 10.1002/mp.70614
UR  - https://doi.org/10.1002/mp.70614
ER  -

APA

SM, S., M, W., A, H., A, G., C, J., G, G., R, G., H, V. B., B, L., & A, K. (2026). Real-world assessment of a deep learning neural network algorithm for prostate cancer detection in MRI using true de novo data.. Medical physics. https://doi.org/10.1002/mp.70614

Source records

pubmed · retrieved 2026-09-25T09:17:24.758Z