Published in:
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. …