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DEEP LEARNING

Detection of anaemia from retinal images

Nature Biomedical Engineering volume 4, pages 2–3 (2020)Cite this article

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A deep-learning algorithm trained with retinal images and subject metadata from the UK Biobank predicts blood-haemoglobin levels.

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Fig. 1: Prediction of haemoglobin levels via deep learning.

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Authors and Affiliations

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

    Yih-Chung Tham, Ching Yu Cheng & Tien Yin Wong

  2. Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore

    Yih-Chung Tham, Ching Yu Cheng & Tien Yin Wong

Authors
  1. Yih-Chung Tham
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  2. Ching Yu Cheng
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  3. Tien Yin Wong
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Corresponding author

Correspondence to Tien Yin Wong.

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Competing interests

Y.C.T. and C.Y.C. declare no competing interests. T.Y.W. is a co-inventor of a patent on various deep-learning systems in ophthalmology; potential conflicts of interests are managed according to institutional policies of the Singapore Health System (SingHealth) and the National University of Singapore.

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Tham, YC., Cheng, C.Y. & Wong, T.Y. Detection of anaemia from retinal images. Nat Biomed Eng 4, 2–3 (2020). https://doi.org/10.1038/s41551-019-0504-2

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