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Published in: Neurocritical Care 1/2022

Open Access 25-05-2022 | Hypoxic-Ischemic Brain Injury | Letters to the editor

Comment on “Machine Learning for Early Detection of Hypoxic‑ischemic Brain Injury After Cardiac Arrest”

Authors: Noah S. Molinski, Aymen Meddeb, Martin Kenda, Michael Scheel

Published in: Neurocritical Care | Issue 1/2022

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Excerpt

With great interest, we have read the article by Mansour et al. [1], reporting on the use of deep transfer learning to identify early signs of hypoxic-ischemic brain injury (HIBI) on head computed tomography (HCT) scans. The authors report a very high accuracy (0.94) of their model with respect to the detection of HIBI signs on HCT scans performed within hours after the return of spontaneous circulation. The authors conclude that “Deep transfer learning reliably identifies HIBI in normal appearing findings on HCT performed within 3 h after ROSC in comatose survivors of a cardiac arrest” [1]. This interpretation is likely too optimistic. …
Literature
4.
go back to reference Goodfellow I, Bengio Y, Courville A. Deep learning. Cambridge: MIT Press; 2004. Goodfellow I, Bengio Y, Courville A. Deep learning. Cambridge: MIT Press; 2004.
5.
go back to reference Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D. Grad-CAM: visual explanations from deep networks via gradient-based localization. In: 2017 IEEE international conference on computer vision (ICCV). IEEE; 2017. p. 618–26. https://doi.org/10.1109/ICCV.2017.74. Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D. Grad-CAM: visual explanations from deep networks via gradient-based localization. In: 2017 IEEE international conference on computer vision (ICCV). IEEE; 2017. p. 618–26. https://​doi.​org/​10.​1109/​ICCV.​2017.​74.
Metadata
Title
Comment on “Machine Learning for Early Detection of Hypoxic‑ischemic Brain Injury After Cardiac Arrest”
Authors
Noah S. Molinski
Aymen Meddeb
Martin Kenda
Michael Scheel
Publication date
25-05-2022
Publisher
Springer US
Published in
Neurocritical Care / Issue 1/2022
Print ISSN: 1541-6933
Electronic ISSN: 1556-0961
DOI
https://doi.org/10.1007/s12028-022-01526-y

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