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MACHINE LEARNING

AI for medical imaging goes deep

An artificial intelligence (AI) using a deep-learning approach can classify retinal images from optical coherence tomography for early diagnosis of retinal diseases and has the potential to be used in other image-based medical diagnoses.

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Fig. 1: Transfer learning can be applied to classify retinal optical coherence tomography images for early diagnosis of retinal diseases.

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Correspondence to Daniel S. W. Ting.

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Competing interests

D.S.W.T. and T.Y.W. are co-inventors of a patent on a deep learning system in detection of retinal diseases. N.M.B. and P.B. are co-inventors of a patent on a deep learning system in detection of age-related macular degeneration.

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Ting, D.S.W., Liu, Y., Burlina, P. et al. AI for medical imaging goes deep. Nat Med 24, 539–540 (2018). https://doi.org/10.1038/s41591-018-0029-3

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