Accuracy of Artificial Intelligence–Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study

BACKGROUND: An accurate quantitative analysis of coronary artery stenotic lesions is essential to make optimal clinical decisions. Recent advances in computer vision and machine learning technology have enabled the automated analysis of coronary angiography. OBJECTIVE: The aim of this paper is to va...

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Detalles Bibliográficos
Autores principales: Moon, In Tae, Kim, Sun-Hwa, Chin, Jung Yeon, Park, Sung Hun, Yoon, Chang-Hwan, Youn, Tae-Jin, Chae, In-Ho, Kang, Si-Hyuck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173041/
https://www.ncbi.nlm.nih.gov/pubmed/37099368
http://dx.doi.org/10.2196/45299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173041/
https://www.ncbi.nlm.nih.gov/pubmed/37099368
http://dx.doi.org/10.2196/45299

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