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Deep learning in ophthalmic and orbital ultrasound for spaceflight associated neuro-ocular syndrome (SANS)

Eye (2023)Cite this article

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We applaud Feng et al. on a well-conducted study that consolidates the advancements in the field of deep learning (DL) and its robust ability in the classification and interpretation of vitreous opacities in ophthalmic ultrasonography [1, 2]. This study evaluates several deep learning models like ResNet and GoogLeNet and their refined versions, identifying their capabilities in accurate image classification, thereby assisting in reducing misdiagnoses in ocular conditions and significantly improving diagnostic accuracies [1].

Terrestrial ocular and orbital ultrasonography (US) can detect abnormalities in the retina, vitreous, optic nerve, and orbit. The sensitivity and specificity of US however is technician and operator dependent and requires precision and accuracy as well as experience and expertise. Vitreous hemorrhages and retinal and choroidal detachment can be visualized on US when the view of the fundus is obscured [1]. US can also provide quantitative measurements of ocular and orbital tumors as well as the optic nerve and optic nerve sheath.

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References

  1. Feng L, Zhang Y, Wei W, Qiu H, Shi M. Applying deep learning to recognize the properties of vitreous opacity in ophthalmic ultrasound images. Eye. 2023;37:1–6.

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Authors and Affiliations

  1. University College Dublin School of Medicine, Belfield, Dublin, Ireland

    Mouayad Masalkhi

  2. Michigan Medicine, University of Michigan, Ann Arbor, MI, USA

    Joshua Ong

  3. Department of Ophthalmology, University of Cambridge, Cambridge, United Kingdom

    Ethan Waisberg

  4. Moorfields Eye Hospital, NHS Foundation Trust, London, United Kingdom

    Ethan Waisberg

  5. Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA

    Andrew G. Lee

  6. The Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, USA

    Andrew G. Lee

  7. Departments of Ophthalmology, Neurology, and Neurosurgery, Weill Cornell Medicine, New York, NY, USA

    Andrew G. Lee

  8. Department of Ophthalmology, University of Texas Medical Branch, Galveston, TX, USA

    Andrew G. Lee

  9. University of Texas MD Anderson Cancer Center, Houston, TX, USA

    Andrew G. Lee

  10. Texas A&M College of Medicine, Bryan, TX, USA

    Andrew G. Lee

  11. Department of Ophthalmology, The University of Iowa Hospitals and Clinics, Iowa City, IA, USA

    Andrew G. Lee

Authors
  1. Mouayad Masalkhi
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  2. Joshua Ong
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  3. Ethan Waisberg
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  4. Andrew G. Lee
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Contributions

MM: Literature Review and Writing. JO: Manuscript Review and Editing. EW: Manuscript Review and Editing. AGL: Manuscript Review and Editing.

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Correspondence to Mouayad Masalkhi.

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Masalkhi, M., Ong, J., Waisberg, E. et al. Deep learning in ophthalmic and orbital ultrasound for spaceflight associated neuro-ocular syndrome (SANS). Eye (2023). https://doi.org/10.1038/s41433-023-02877-2

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  • DOI: https://doi.org/10.1038/s41433-023-02877-2

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