Old habits die hard:  Can AI help bring coronary angiography Into the 21st Century?

Coronary angiography (CAG) was pioneered in the 1950s by Eduardo Coelho (who performed the first nonselective in vivo CAG in 1952 at the Santa Marta Hospital in Lisbon, Portugal) and Frank Mason Sones Jr (who performed the first selective CAG in vivo in 1958 at the Cleveland Clinic in Ohio, USA). Sones further developed the technique by contributing to the development of the C-arm, enabling multiangular views and a comprehensive assessment of coronary artery anatomy and disease. This approach remains essentially the same today. When interpreting CAG images, an essential step is the assessment of the severity/significance of coronary lesions, paramount for considering revascularization. Furthermore, the presence of significant lesions increases the risk of cardiovascular events and symptoms, rendering optimal medical therapy mandatory for addressing both.

Palavras-chave

Artificial intelligence Coronary angiography Coronary artery disease Coronary physiology

URI

http://hdl.handle.net/10400.1/27362

Editora

Elsevier BV

DOI

10.1016/j.jacadv.2024.101093

Coleções

ULS_10.1-MED-Artigos

Licença CC

cclicense-by-nc-nd

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