Value of machine learning in preliminary assessment of the degree of coronary artery stenosis caused by different types of plaques

Objective To explore the application value of machine learning in preliminary evaluation of the degree of co-ronary artery stenosis caused by different types of plaques. Methods Eighty patients who underwent coronary CT angiography (CCTA) and coronary angiography (CAG) in the following 14 d from Jan...

Celý popis

Podrobná bibliografie

Hlavní autor:	ZHANG Bingping, LIANG Yangyang, LIU Shunli, XU Fenglei, ZHONG Xin, LI Zhiming
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Editorial Office of Journal of Precision Medicine 2024-04-01
Edice:	精准医学杂志
Témata:	artificial intelligence|machine learning|computed tomography angiography|coronary stenosis|plaque, atherosclerotic
On-line přístup:	https://jpmed.qdu.edu.cn/fileup/2096-529X/PDF/1716285337434-143055270.pdf
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!