The FINESSE (Artificial Intelligence Stress Echo) study to develop and validate machine learning–based model to improve risk prediction in patients undergoing stress echocardiography for the assessment of inducible myocardial ischaemia (FINESSE Protocol)

Ugochukwu Ihekwaba, Mohamed Bennasar, Nicholas Johnson, Nerea Sanfeliu Garces, Hanry West, Blaine Price, Jeffrey Khoo, Iain Squire, Kenneth Chan, Attila Kardos

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DOI: 10.1093/ehjimp/qyag143
Published: 2026-07-02
Container: European Heart Journal - Imaging Methods and Practice
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/ehjimp/qyag143,
  title = {The FINESSE (Artificial Intelligence Stress Echo) study to develop and validate machine learning–based model to improve risk prediction in patients undergoing stress echocardiography for the assessment of inducible myocardial ischaemia (FINESSE Protocol)},
  author = {Ugochukwu Ihekwaba and Mohamed Bennasar and Nicholas Johnson and Nerea Sanfeliu Garces and Hanry West and Blaine Price and Jeffrey Khoo and Iain Squire and Kenneth Chan and Attila Kardos},
  year = {2026},
  journal = {European Heart Journal - Imaging Methods and Practice},
  doi = {10.1093/ehjimp/qyag143},
  url = {https://doi.org/10.1093/ehjimp/qyag143}
}

RIS

TY  - JOUR
TI  - The FINESSE (Artificial Intelligence Stress Echo) study to develop and validate machine learning–based model to improve risk prediction in patients undergoing stress echocardiography for the assessment of inducible myocardial ischaemia (FINESSE Protocol)
AU  - Ugochukwu Ihekwaba
AU  - Mohamed Bennasar
AU  - Nicholas Johnson
AU  - Nerea Sanfeliu Garces
AU  - Hanry West
AU  - Blaine Price
AU  - Jeffrey Khoo
AU  - Iain Squire
AU  - Kenneth Chan
AU  - Attila Kardos
PY  - 2026
JO  - European Heart Journal - Imaging Methods and Practice
DO  - 10.1093/ehjimp/qyag143
UR  - https://doi.org/10.1093/ehjimp/qyag143
ER  -

APA

Ihekwaba, U., Bennasar, M., Johnson, N., Garces, N. S., West, H., Price, B., Khoo, J., Squire, I., Chan, K., & Kardos, A. (2026). The FINESSE (Artificial Intelligence Stress Echo) study to develop and validate machine learning–based model to improve risk prediction in patients undergoing stress echocardiography for the assessment of inducible myocardial ischaemia (FINESSE Protocol). European Heart Journal - Imaging Methods and Practice. https://doi.org/10.1093/ehjimp/qyag143

Source records

crossref · retrieved 2026-09-25T19:11:38.121Z