Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans.
Tommaso D AngeloGiuseppe M BucoloTarek KamareddineIbrahim YelVitali KochLeon D GruenewaldSimon MartinLeona S AlizadehSilvio MazziottiAlfredo BlandinoThomas J VoglChristian BoozPublished in: La Radiologia medica (2024)
A novel deep learning algorithm can provide high diagnostic accuracy for the identification and classification of ICH from unenhanced CT scans, combined with short processing times. This has the potential to assist and improve radiologists' ICH assessment in NCCT scans, especially in emergency scenarios, when time efficiency is needed.
Keyphrases
- deep learning
- dual energy
- computed tomography
- artificial intelligence
- contrast enhanced
- image quality
- machine learning
- convolutional neural network
- positron emission tomography
- magnetic resonance imaging
- climate change
- public health
- emergency department
- healthcare
- magnetic resonance
- human health
- pet ct
- emergency medical