Machine Learning for Early Detection of Hypoxic-Ischemic Brain Injury After Cardiac Arrest.
Ali MansourJordan D FuhrmanFaten El AmmarAndrea LogginiJared DavisChristos LazaridisChristopher KramerFernando D GoldenbergMaryellen L GigerPublished in: Neurocritical care (2021)
Deep transfer learning used to evaluate normal-appearing findings on HCT scans obtained early after ROSC in comatose survivors of cardiac arrest accurately identifies patients who progress to show radiographic evidence of HIBI on follow-up HCT scans.
Keyphrases
- cardiac arrest
- brain injury
- cardiopulmonary resuscitation
- machine learning
- subarachnoid hemorrhage
- computed tomography
- cell cycle arrest
- cerebral ischemia
- genome wide
- young adults
- contrast enhanced
- artificial intelligence
- dual energy
- big data
- magnetic resonance imaging
- gene expression
- magnetic resonance
- deep learning
- pi k akt