Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.
Daniel Thomas GinatPublished in: Neuroradiology (2019)
This study reveals that the performance of the deep learning software for acute intracranial hemorrhage detection varies depending upon the patient visit location. Furthermore, a substantial portion of flagged cases were follow-up exams, the majority of which were inpatient exams. These findings can help optimize the artificial intelligence-driven clincical workflow.
Keyphrases
- deep learning
- artificial intelligence
- liver failure
- optic nerve
- big data
- machine learning
- respiratory failure
- computed tomography
- convolutional neural network
- drug induced
- aortic dissection
- contrast enhanced
- dual energy
- case report
- magnetic resonance imaging
- hepatitis b virus
- data analysis
- image quality
- palliative care
- extracorporeal membrane oxygenation
- loop mediated isothermal amplification
- intensive care unit
- electronic health record
- optical coherence tomography