A better method for the dynamic, precise estimating of blood/haemoglobin loss based on deep learning of artificial intelligence

BACKGROUND: Dynamic and precise estimation of blood loss (EBL) is quite important for perioperative management. To date, the Triton System, based on feature extraction technology (FET), has been applied to estimate intra-operative haemoglobin (Hb) loss but is unable to directly assess the amount of...

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Detalles Bibliográficos
Autores principales: Li, Yu-Jie, Zhang, Li-Ge, Zhi, Hong-Yu, Zhong, Kun-Hua, He, Wen-Quan, Chen, Yang, Yang, Zhi-Yong, Chen, Lin, Bai, Xue-Hong, Qin, Xiao-Lin, Li, Dan-Feng, Wang, Dan-Dan, Gu, Jian-Teng, Ning, Jiao-Lin, Lu, Kai-Zhi, Zhang, Ju, Xia, Zheng-Yuan, Chen, Yu-Wen, Yi, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607084/
https://www.ncbi.nlm.nih.gov/pubmed/33178751
http://dx.doi.org/10.21037/atm-20-1806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607084/
https://www.ncbi.nlm.nih.gov/pubmed/33178751
http://dx.doi.org/10.21037/atm-20-1806

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