Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach.
Shahriar FaghaniMana MoassefiAjay A MadhavanIan T MarkJared T VerdoornBradley J EricksonJohn C BensonPublished in: AJNR. American journal of neuroradiology (2024)
This study developed a deep learning model that can predict the presence of a spinal CSF-venous fistula based on brain MR imaging in patients with suspected spontaneous intracranial hypotension. However, further model refinement and external validation are necessary before clinical adoption. This research highlights the substantial potential of deep learning in diagnosing CSF-venous fistulas by using brain MR imaging.
Keyphrases
- deep learning
- resting state
- white matter
- contrast enhanced
- artificial intelligence
- convolutional neural network
- functional connectivity
- machine learning
- cerebral ischemia
- spinal cord
- computed tomography
- electronic health record
- spinal cord injury
- risk assessment
- brain injury
- blood brain barrier
- climate change
- human health