Automated diagnosis of optical coherence tomography imaging on plaque vulnerability and its relation to clinical outcomes in coronary artery disease

This study sought to develop a deep learning-based diagnostic algorithm for plaque vulnerability by analyzing intravascular optical coherence tomography (OCT) images and to investigate the relation between AI-plaque vulnerability and clinical outcomes in patients with coronary artery disease (CAD)....

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Detalles Bibliográficos
Autores principales: Niioka, Hirohiko, Kume, Teruyoshi, Kubo, Takashi, Soeda, Tsunenari, Watanabe, Makoto, Yamada, Ryotaro, Sakata, Yasushi, Miyamoto, Yoshihiro, Wang, Bowen, Nagahara, Hajime, Miyake, Jun, Akasaka, Takashi, Saito, Yoshihiko, Uemura, Shiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388661/
https://www.ncbi.nlm.nih.gov/pubmed/35982217
http://dx.doi.org/10.1038/s41598-022-18473-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388661/
https://www.ncbi.nlm.nih.gov/pubmed/35982217
http://dx.doi.org/10.1038/s41598-022-18473-5

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