Applied deep learning in neurosurgery: identifying cerebrospinal fluid (CSF) shunt systems in hydrocephalus patients.
Thomas RhombergFelipe Trivik-BarrientosArsany HakimAndreas RaabeMichael MurekPublished in: Acta neurochirurgica (2024)
This technology has the potential to automatically detect different shunt valve models in a fast and precise way and may facilitate the identification of an unknown shunt valve on X-ray or CT scout images. The deep learning model we developed could be integrated into PACS systems or standalone mobile applications to enhance clinical workflows.
Keyphrases
- deep learning
- cerebrospinal fluid
- pulmonary artery
- convolutional neural network
- end stage renal disease
- aortic valve
- mitral valve
- artificial intelligence
- ejection fraction
- newly diagnosed
- chronic kidney disease
- dual energy
- computed tomography
- machine learning
- peritoneal dialysis
- magnetic resonance imaging
- pulmonary hypertension
- pulmonary arterial hypertension
- patient reported outcomes
- contrast enhanced
- risk assessment
- positron emission tomography
- left ventricular
- bioinformatics analysis
- patient reported