Use of artificial intelligence to assess the risk of coronary artery disease without additional (non-invasive) testing: validation in a low-risk to intermediate-risk outpatient clinic cohort

OBJECTIVES: Predicting the presence or absence of coronary artery disease (CAD) is clinically important. Pretest probability (PTP) and CAD consortium clinical (CAD2) model and risk scores used in the guidelines are not sufficiently accurate as the only guidance for applying invasive testing or disch...

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Detalles Bibliográficos
Autores principales: Eurlings, Casper G M J, Bektas, Sema, Sanders-van Wijk, Sandra, Tsirkin, Andrew, Vasilchenko, Vasily, Meex, Steven J R, Failer, Michael, Oehri, Caroline, Ruff, Peter, Zellweger, Michael J, Brunner-La Rocca, Hans-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516207/
https://www.ncbi.nlm.nih.gov/pubmed/36167368
http://dx.doi.org/10.1136/bmjopen-2021-055170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516207/
https://www.ncbi.nlm.nih.gov/pubmed/36167368
http://dx.doi.org/10.1136/bmjopen-2021-055170

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