From Model Accuracy to Patient Benefit: Rethinking Evaluation of Radiology Artificial Intelligence.

Sorin V, Klang E, Korfiatis P, Bratt A, Collins JD

DOI: 10.1016/j.jacr.2026.08.005
Published: 2026 Aug 10
Container: Journal of the American College of Radiology : JACR
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jacr.2026.08.005,
  title = {From Model Accuracy to Patient Benefit: Rethinking Evaluation of Radiology Artificial Intelligence.},
  author = {Sorin V and Klang E and Korfiatis P and Bratt A and Collins JD},
  year = {2026},
  journal = {Journal of the American College of Radiology : JACR},
  doi = {10.1016/j.jacr.2026.08.005},
  url = {https://doi.org/10.1016/j.jacr.2026.08.005}
}

RIS

TY  - JOUR
TI  - From Model Accuracy to Patient Benefit: Rethinking Evaluation of Radiology Artificial Intelligence.
AU  - Sorin V
AU  - Klang E
AU  - Korfiatis P
AU  - Bratt A
AU  - Collins JD
PY  - 2026
JO  - Journal of the American College of Radiology : JACR
DO  - 10.1016/j.jacr.2026.08.005
UR  - https://doi.org/10.1016/j.jacr.2026.08.005
ER  -

APA

V, S., E, K., P, K., A, B., & JD, C. (2026). From Model Accuracy to Patient Benefit: Rethinking Evaluation of Radiology Artificial Intelligence.. Journal of the American College of Radiology : JACR. https://doi.org/10.1016/j.jacr.2026.08.005

Source records

pubmed · retrieved 2026-09-26T06:07:43.673Z