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Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment

Background Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis imaging quantitative CT, AI-QCT).Methods The study in...

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Bibliografiset tiedot
Päätekijät: James K Min, Paul Knaapen, Nick S Nurmohamed, Erik S G Stroes, Andrew D Choi, Ibrahim Danad, James Earls, Michiel J Bom, Ruben W de Winter, Rachel Bernardo, Ruurt Jukema, Ralf Sprengers
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMJ Publishing Group 2025-01-01
Sarja:Open Heart
Linkit:https://openheart.bmj.com/content/12/1/e003115.full
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