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Artificial Intelligence and Cataract

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Artificial Intelligence and Ophthalmology

Part of the book series: Current Practices in Ophthalmology ((CUPROP))

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Abstract

The use of artificial intelligence for cataract detection, grading and management has been explored in recent years. In this chapter, we review the previous works in this regard, the challenges faced and the potential real-world deployment strategies. Owing to the magnitude of the problem, developments in this field are going to have significant impact on public health policy and healthcare delivery models.

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Acknowledgement

YCT is supported by the National Medical Research Council, Singapore [NMRC/MOH-TA18nov-0002]. The funding organization had no role in the design or conduct of this research.

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Authors and Affiliations

  1. Ocular Epidemiology Research Group, Singapore Eye Research Institute, Singapore, Singapore

    Sahil Thakur & Jocelyn Hui Lin Goh

  2. Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore

    Yih-Chung Tham

  3. Duke-NUS Medical School, Singapore, Singapore

    Yih-Chung Tham

Authors
  1. Sahil Thakur
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  2. Jocelyn Hui Lin Goh
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  3. Yih-Chung Tham
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Corresponding author

Correspondence to Yih-Chung Tham .

Editor information

Editors and Affiliations

  1. Department of Ophthalmology, Government Medical College and Hospital, Chandigarh, India

    Parul Ichhpujani

  2. Ocular Epidemiology Research Group, Singapore Eye Research Institute, Singapore, Singapore

    Sahil Thakur

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Thakur, S., Goh, J.H.L., Tham, YC. (2021). Artificial Intelligence and Cataract. In: Ichhpujani, P., Thakur, S. (eds) Artificial Intelligence and Ophthalmology. Current Practices in Ophthalmology. Springer, Singapore. https://doi.org/10.1007/978-981-16-0634-2_5

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  • DOI: https://doi.org/10.1007/978-981-16-0634-2_5

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  • Online ISBN: 978-981-16-0634-2

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