Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach [ARTIFICIAL INTELLIGENCE]

CONCLUSIONS: 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.
Source: American Journal of Neuroradiology - Category: Radiology Authors: Tags: ARTIFICIAL INTELLIGENCE Source Type: research