Artificial Intelligence for Automatic Analysis of Shunt Treatment in Presurgery and Postsurgery Computed Tomography Brain Scans of Patients With Idiopathic Normal Pressure Hydrocephalus.
S ShailjaChristopher NguyenKrithika ThanigaivelanChandrakanth GudavalliVikram BhagavatulaJefferson W ChenB S ManjunathPublished in: Neurosurgery (2024)
Proposed metric quantifies changes in ventricular volume before and after shunt surgery for patients with iNPH, serving as an automated and effective radiographic marker for a functioning shunt in a patient with iNPH.
Keyphrases
- artificial intelligence
- computed tomography
- deep learning
- machine learning
- pulmonary artery
- big data
- minimally invasive
- positron emission tomography
- heart failure
- magnetic resonance imaging
- case report
- coronary artery bypass
- subarachnoid hemorrhage
- left ventricular
- contrast enhanced
- white matter
- dual energy
- cerebrospinal fluid
- magnetic resonance
- multiple sclerosis
- atrial fibrillation
- combination therapy
- coronary artery disease
- image quality
- percutaneous coronary intervention
- functional connectivity
- replacement therapy