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Response to ‘Deep learning in ophthalmic ultrasound to enable further insights in Spaceflight Associated Neuro-Ocular Syndrome (SANS)’

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References

  1. Masalkhi M, Ong J, Waisberg E, Lee AG. Deep learning in Ophthalmic and Orbital Ultrasound for Spaceflight Associated Neuro-ocular Syndrome (SANS). Eye. 2023. In press

  2. Ong J, Waisberg E, Masalkhi M, Kamran SA, Lowry K, Sarker P, et al. Artificial intelligence frameworks to detect and investigate the pathophysiology of Spaceflight Associated Neuro-Ocular Syndrome (SANS). Brain Sci. 2023;13:1148.

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Funding

This study was funded by Scientifc Research Funding for Education Department of Liaoning Province (Grant No. ZD2020002).

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Authors and Affiliations

  1. Department of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Eye Hospital of China Medical University, The Key Laboratory of Lens in Liaoning Province, Shenyang, China

    Li Feng, Hui Qiu & Mingyu Shi

  2. Shenyang Ligong University, Shenyang, China

    Yanzhu Zhang

  3. Hebei Eye Hospital, Xingtai, China

    Wei Wei

Authors
  1. Li Feng
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  2. Yanzhu Zhang
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  3. Wei Wei
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  4. Hui Qiu
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  5. Mingyu Shi
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Contributions

LF and MS were involved in the conception and conduct, LF, HQ and MS were drafted this manuscript, and YZ, WW and MS were involved in review the manuscript. All authors read and approved the final version.

Corresponding author

Correspondence to Mingyu Shi.

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The authors declare no competing interests.

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Feng, L., Zhang, Y., Wei, W. et al. Response to ‘Deep learning in ophthalmic ultrasound to enable further insights in Spaceflight Associated Neuro-Ocular Syndrome (SANS)’. Eye 38, 1398 (2024). https://doi.org/10.1038/s41433-023-02878-1

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  • DOI: https://doi.org/10.1038/s41433-023-02878-1

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