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The Innovation > 2024 Vol. 5 > No. 2
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A novel clinical artificial intelligence model for disease detection via retinal imaging

  • 1.

    Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China

  • 2.

    Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai 200011, China

  • 3.

    PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing 210000, China

  • 4.

    Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210000, China

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  • 5These authors contributed equally

  • Corresponding authors: geshengfang@sjtu.edu.cn (S.G.);  yangzhiscience@163.com (Z.Y.)
  • Received Date:  September 28, 2023
    Accepted Date:  January 03, 2024
    Published Online:  January 05, 2024
The Innovation  5(2),  https://doi.org/10.1016/j.xinn.2024.100575  |  Cite this article
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    • REFERENCES
  • [1] Rajpurkar, P., Chen, E., Banerjee, O., et al. (2022). AI in health and medicine. Nat Med 28: 31–38. https://doi.org/10.1038/s41591-021-01614-0.

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  • Cite this article:

    Yidian Fu, Liang Ma, Sheng Wan, Shengfang Ge, Zhi Yang. A novel clinical artificial intelligence model for disease detection via retinal imaging[J]. The Innovation, 2024, 5(2). https://doi.org/10.1016/j.xinn.2024.100575
    Yidian Fu, Liang Ma, Sheng Wan, Shengfang Ge, Zhi Yang. A novel clinical artificial intelligence model for disease detection via retinal imaging[J]. The Innovation, 2024, 5(2). https://doi.org/10.1016/j.xinn.2024.100575

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