An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study.

Journal: Diabetologia
Published Date: Nov 12, 2019

Abstract

AIMS/HYPOTHESIS: Corneal confocal microscopy is a rapid non-invasive ophthalmic imaging technique that identifies peripheral and central neurodegenerative disease. Quantification of corneal sub-basal nerve plexus morphology, however, requires either time-consuming manual annotation or a less-sensitive automated image analysis approach. We aimed to develop and validate an artificial intelligence-based, deep learning algorithm for the quantification of nerve fibre properties relevant to the diagnosis of diabetic neuropathy and to compare it with a validated automated analysis program, ACCMetrics.

Authors

  • Bryan M Williams
    Department of Eye and Vision Science, University of Liverpool, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
  • Davide Borroni
    St Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, UK.
  • Rongjun Liu
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Yitian Zhao
  • Jiong Zhang
    Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China.
  • Jonathan Lim
    Department of Endocrinology and Diabetes, University Hospital Aintree, Longmoor Lane, Liverpool, UK.
  • Baikai Ma
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Vito Romano
    Department of Eye and Vision Science, University of Liverpool, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
  • Hong Qi
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Maryam Ferdousi
    Department of Endocrinology and Diabetes, University Hospital Aintree, Longmoor Lane, Liverpool, UK.
  • Ioannis N Petropoulos
    Weill Cornell Medicine - Qatar, Doha, Qatar.
  • Georgios Ponirakis
    Weill Cornell Medicine - Qatar, Doha, Qatar.
  • Stephen Kaye
    Department of Eye and Vision Science, University of Liverpool, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
  • Rayaz A Malik
    Weill Cornell Medicine-Qatar, Research Division, Doha, Qatar.
  • Uazman Alam
    Diabetes and Neuropathy Research, Department of Eye and Vision Sciences and Pain Research Institute, Institute of Ageing and Chronic Disease, University of Liverpool and Aintree University Hospital NHS Foundation Trust, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK. uazman.alam@liverpool.ac.uk.
  • Yalin Zheng
    Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom.

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