Automatic vein measurement by ultrasonography to prevent peripheral intravenous catheter failure for clinical practice using artificial intelligence: development and evaluation study of an automatic detection method based on deep learning

OBJECTIVES: Complications due to peripheral intravenous catheters (PIVC) can be assessed using ultrasound imaging; however, it is not routinely conducted due to the need for training in image reading techniques. This study aimed to develop and validate a system that automatically measures blood vess...

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Detalles Bibliográficos
Autores principales: Takahashi, Toshiaki, Nakagami, Gojiro, Murayama, Ryoko, Abe-Doi, Mari, Matsumoto, Masaru, Sanada, Hiromi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Nursing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174762/
https://www.ncbi.nlm.nih.gov/pubmed/35613784
http://dx.doi.org/10.1136/bmjopen-2021-051466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174762/
https://www.ncbi.nlm.nih.gov/pubmed/35613784
http://dx.doi.org/10.1136/bmjopen-2021-051466

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