Microcirculatory alterations in critically ill COVID-19 patients analyzed using artificial intelligence

Microcirculatory alterations in critically ill COVID-19 patients analyzed using artificial intelligence

Abstract Background The sublingual microcirculation presumably exhibits disease-specific changes in function and morphology. Algorithm-based quantification of functional microcirculatory hemodynamic variables in handheld vital microscopy (HVM) has recently allowed identification of hemodynamic alter...

Full description

Bibliographic Details
Main Authors: Matthias Peter Hilty, Emanuele Favaron, Pedro David Wendel Garcia, Yavuz Ahiska, Zuhre Uz, Sakir Akin, Moritz Flick, Sesmu Arbous, Daniel A. Hofmaenner, Bernd Saugel, Henrik Endeman, Reto Andreas Schuepbach, Can Ince
Format: Article
Language:English
Published: BMC 2022-10-01
Series:Critical Care
Subjects:
Microcirculation
COVID-19
Deep learning
Neuronal network
Artificial intelligence
Online Access:https://doi.org/10.1186/s13054-022-04190-y

Internet

https://doi.org/10.1186/s13054-022-04190-y

Similar Items