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

INTRODUCTION: Surgical 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, whic...

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Detalles Bibliográficos
Autores principales: Hughes, Charmayne Mary Lee, Jeffers, Andrew, Sethuraman, Arun, Klum, Michael, Tan, Milly, Tan, Valerie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medical Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150061/
https://www.ncbi.nlm.nih.gov/pubmed/37138726
http://dx.doi.org/10.3389/fmedt.2023.1111859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150061/
https://www.ncbi.nlm.nih.gov/pubmed/37138726
http://dx.doi.org/10.3389/fmedt.2023.1111859

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