The Quality of Radiology Artificial Intelligence Research: Point-P-Hacking, Analytic Flexibility, and Erosion of the Evidence Base.

García-Hidalgo C, Pons-Escoda A

DOI: 10.2214/ajr.26.35096
Published: 2026 Jun 17
Container: AJR. American journal of roentgenology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.2214/ajr.26.35096,
  title = {The Quality of Radiology Artificial Intelligence Research: Point-P-Hacking, Analytic Flexibility, and Erosion of the Evidence Base.},
  author = {García-Hidalgo C and Pons-Escoda A},
  year = {2026},
  journal = {AJR. American journal of roentgenology},
  doi = {10.2214/ajr.26.35096},
  url = {https://doi.org/10.2214/ajr.26.35096}
}

RIS

TY  - JOUR
TI  - The Quality of Radiology Artificial Intelligence Research: Point-P-Hacking, Analytic Flexibility, and Erosion of the Evidence Base.
AU  - García-Hidalgo C
AU  - Pons-Escoda A
PY  - 2026
JO  - AJR. American journal of roentgenology
DO  - 10.2214/ajr.26.35096
UR  - https://doi.org/10.2214/ajr.26.35096
ER  -

APA

C, G., & A, P. (2026). The Quality of Radiology Artificial Intelligence Research: Point-P-Hacking, Analytic Flexibility, and Erosion of the Evidence Base.. AJR. American journal of roentgenology. https://doi.org/10.2214/ajr.26.35096

Source records

pubmed · retrieved 2026-09-26T06:07:39.969Z
europe-pmc · retrieved 2026-09-26T06:07:39.984Z