Development and External Validation of a Deep Learning Algorithm to Identify and Localize Subarachnoid Hemorrhage on CT Scans.
Antonios ThanellasHeikki PeuraMikko LavintoTomi RuokolaMoira VieliVictor Egon StaartjesSebastian WinklhoferCarlo SerraLuca RegliMiikka KorjaPublished in: Neurology (2023)
This study provides Class III evidence that a deep learning algorithm correctly identifies the presence of subarachnoid hemorrhage on CT scan.
Keyphrases
- subarachnoid hemorrhage
- deep learning
- computed tomography
- dual energy
- brain injury
- cerebral ischemia
- contrast enhanced
- image quality
- artificial intelligence
- machine learning
- convolutional neural network
- positron emission tomography
- magnetic resonance imaging
- genome wide
- dna methylation
- gene expression
- blood brain barrier