Atherosclerosis Imaging Quantitative Computed Tomography (AI‐QCT) to guide referral to invasive coronary angiography in the randomized controlled CONSERVE trial

AIMS: We compared diagnostic performance, costs, and association with major adverse cardiovascular events (MACE) of clinical coronary computed tomography angiography (CCTA) interpretation versus semiautomated approach that use artificial intelligence and machine learning for atherosclerosis imaging‐...

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Detalles Bibliográficos
Autores principales: Kim, Yumin, Choi, Andrew D., Telluri, Anha, Lipkin, Isabella, Bradley, Andrew J., Sidahmed, Alfateh, Jonas, Rebecca, Andreini, Daniele, Bathina, Ravi, Baggiano, Andrea, Cerci, Rodrigo, Choi, Eui‐Young, Choi, Jung‐Hyun, Choi, So‐Yeon, Chung, Namsik, Cole, Jason, Doh, Joon‐Hyung, Ha, Sang‐Jin, Her, Ae‐Young, Kepka, Cezary, Kim, Jang‐Young, Kim, Jin Won, Kim, Sang‐Wook, Kim, Woong, Pontone, Gianluca, Villines, Todd C., Cho, Iksung, Danad, Ibrahim, Heo, Ran, Lee, Sang‐Eun, Lee, Ji Hyun, Park, Hyung‐Bok, Sung, Ji‐min, Crabtree, Tami, Earls, James P., Min, James K., Chang, Hyuk‐Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Clinical Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189079/
https://www.ncbi.nlm.nih.gov/pubmed/36847047
http://dx.doi.org/10.1002/clc.23995

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189079/
https://www.ncbi.nlm.nih.gov/pubmed/36847047
http://dx.doi.org/10.1002/clc.23995

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