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

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 discha...

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Bibliographic Details
Main Authors: Steven J R Meex, Hans-Peter Brunner-La Rocca, Sema Bektas, Michael J Zellweger, Casper G M J Eurlings, Sandra Sanders-van Wijk, Andrew Tsirkin, Vasily Vasilchenko, Michael Failer, Caroline Oehri, Peter Ruff
Format: Article
Language:English
Published: BMJ Publishing Group 2022-09-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/9/e055170.full

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https://bmjopen.bmj.com/content/12/9/e055170.full

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