Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial.

Williams MC, Guimaraes ARM, Jiang M, Kwieciński J, Weir-McCall JR, Adamson PD, Mills NL, Roditi GH, van Beek EJR, Nicol E, Berman DS, Slomka PJ, Dweck MR, Newby DE, Dey D

Open source

DOI
10.1136/openhrt-2025-003162
Published
2025 Sep 1
Container
Open heart
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1136/openhrt-2025-003162,
  title = {Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial.},
  author = {Williams MC and Guimaraes ARM and Jiang M and Kwieciński J and Weir-McCall JR and Adamson PD and Mills NL and Roditi GH and van Beek EJR and Nicol E and Berman DS and Slomka PJ and Dweck MR and Newby DE and Dey D},
  year = {2025},
  journal = {Open heart},
  doi = {10.1136/openhrt-2025-003162},
  url = {https://doi.org/10.1136/openhrt-2025-003162}
}

RIS

TY  - JOUR
TI  - Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial.
AU  - Williams MC
AU  - Guimaraes ARM
AU  - Jiang M
AU  - Kwieciński J
AU  - Weir-McCall JR
AU  - Adamson PD
AU  - Mills NL
AU  - Roditi GH
AU  - van Beek EJR
AU  - Nicol E
AU  - Berman DS
AU  - Slomka PJ
AU  - Dweck MR
AU  - Newby DE
AU  - Dey D
PY  - 2025
JO  - Open heart
DO  - 10.1136/openhrt-2025-003162
UR  - https://doi.org/10.1136/openhrt-2025-003162
ER  - 

APA

MC, W., ARM, G., M, J., J, K., JR, W., PD, A., NL, M., GH, R., EJR, V. B., E, N., DS, B., PJ, S., MR, D., DE, N., & D, D. (2025). Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial.. Open heart. https://doi.org/10.1136/openhrt-2025-003162

Source records