Analyzing drilling noise in rotational atherectomy: Improving safety and effectiveness through visualization and anomaly detection using autoencoder—A preclinical study

Analyzing drilling noise in rotational atherectomy: Improving safety and effectiveness through visualization and anomaly detection using autoencoder—A preclinical study

Abstract Background and Aims As the population of aging societies continues to grow, the prevalence of complex coronary artery diseases, including calcification, is expected to increase. Rotational atherectomy (RA) is an essential technique for treating calcified lesions. This study aimed to assess...

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Bibliographic Details
Main Authors: Hidenori Komiyama, Takuro Abe, Toshiyuki Ando, Masahiro Ishikawa, Shinji Tanaka, Shiro Ishihara, Yoshiro Inoue, Kentaro Jujo, Takeshi Hamatani, Takashi Matsukage
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Health Science Reports
Subjects:
angioplasty
artificial intelligence
atherectomy
catheterization
vascular calcification
Online Access:https://doi.org/10.1002/hsr2.1739

Internet

https://doi.org/10.1002/hsr2.1739

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