Machine learning approach to needle insertion site identification for spinal anesthesia in obese patients

Machine learning approach to needle insertion site identification for spinal anesthesia in obese patients

Abstract Background Ultrasonography for neuraxial anesthesia is increasingly being used to identify spinal structures and the identification of correct point of needle insertion to improve procedural success, in particular in obesity. We developed an ultrasound-guided automated spinal landmark ident...

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Bibliographic Details
Main Authors: Jason Ju In Chan, Jun Ma, Yusong Leng, Kok Kiong Tan, Chin Wen Tan, Rehena Sultana, Alex Tiong Heng Sia, Ban Leong Sng
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Anesthesiology
Subjects:
Neuraxial anesthesia
Spinal
Automated
Ultrasound
Online Access:https://doi.org/10.1186/s12871-021-01466-8

Internet

https://doi.org/10.1186/s12871-021-01466-8

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