Hostname: page-component-7bb8b95d7b-w7rtg Total loading time: 0 Render date: 2024-09-19T08:10:24.160Z Has data issue: false hasContentIssue false
  • English
  • Français

Visual Snow Syndrome: Use of Text-To-Image Artificial Intelligence Models to Improve the Patient Perspective

Published online by Cambridge University Press:  10 November 2022

Michael Balas Open the ORCID record for Michael Balas [Opens in a new window]  and
Jonathan A. Micieli Open the ORCID record for Jonathan A. Micieli [Opens in a new window]
Michael Balas
Affiliation:
Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
Jonathan A. Micieli*
Affiliation:
Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada Division of Neurology, Department of Medicine, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada Kensington Vision and Research Centre, Toronto, Ontario, Canada
*
Corresponding author: Jonathan A. Micieli, Kensington Vision and Research Centre, 340 College Street, Suite 501, Toronto, Ontario M5T 3A9, Canada. Email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

Keywords

Visual snowArtificial intelligenceEmpathyCommunication
Type
Letter to the Editor: New Observation
Information
Canadian Journal of Neurological Sciences , Volume 50 , Issue 6 , November 2023 , pp. 946 - 947
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Puledda, F, Schankin, C, Goadsby, PJ. Visual snow syndrome: a clinical and phenotypical description of 1,100 cases. Neurology. 2020;94:e564–e574.CrossRefGoogle ScholarPubMed
Liu, G, Schatz, N, Galetta, S, Volpe, N, Skobieranda, F, Kosmorsky, G. Persistent positive visual phenomena in migraine. Neurology. 1995;45:664–8.CrossRefGoogle ScholarPubMed
Metzler, AI, Robertson, CE. Visual snow syndrome: proposed criteria, clinical implications, and pathophysiology. Curr Neurol Neurosci Rep. 2018;18:1–9.CrossRefGoogle ScholarPubMed
Rombach, R, Blattmann, A, Lorenz, D, Esser, P, Ommer, B. High-resolution image synthesis with latent diffusion models. In: Paper presented at: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022.CrossRefGoogle Scholar
Saharia, C, Chan, W, Saxena, S, et al. Photorealistic text-to-image diffusion models with deep language understanding, arXiv preprint arXiv: 220511487. 2022.Google Scholar
Ramesh, A, Pavlov, M, Goh, G, et al. Zero-shot text-to-image generation. In: Paper presented at: International Conference on Machine Learning 2021.Google Scholar