Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes

AIMS/HYPOTHESIS: We aimed to develop an artificial intelligence (AI)-based deep learning algorithm (DLA) applying attribution methods without image segmentation to corneal confocal microscopy images and to accurately classify peripheral neuropathy (or lack of). METHODS: The AI-based DLA utilised con...

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Detalles Bibliográficos
Autores principales: Preston, Frank G., Meng, Yanda, Burgess, Jamie, Ferdousi, Maryam, Azmi, Shazli, Petropoulos, Ioannis N., Kaye, Stephen, Malik, Rayaz A., Zheng, Yalin, Alam, Uazman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803718/
https://www.ncbi.nlm.nih.gov/pubmed/34806115
http://dx.doi.org/10.1007/s00125-021-05617-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803718/
https://www.ncbi.nlm.nih.gov/pubmed/34806115
http://dx.doi.org/10.1007/s00125-021-05617-x

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