The detection and prediction of surgical site infections using multi-modal sensors and machine learning: Results in an animal model

The detection and prediction of surgical site infections using multi-modal sensors and machine learning: Results in an animal model

IntroductionSurgical Site Infection (SSI) is a common healthcare-associated infection that imposes a considerable clinical and economic burden on healthcare systems. Advances in wearable sensors and digital technologies have unlocked the potential for the early detection and diagnosis of SSI, which...

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Bibliographic Details
Main Authors: Charmayne Mary Lee Hughes, Andrew Jeffers, Arun Sethuraman, Michael Klum, Milly Tan, Valerie Tan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Medical Technology
Subjects:
surgical site infection
multi-modal sensors
non-invasive sensors
machine learning
wound healing
superficial incisional infection
Online Access:https://www.frontiersin.org/articles/10.3389/fmedt.2023.1111859/full

Internet

https://www.frontiersin.org/articles/10.3389/fmedt.2023.1111859/full

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