Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy
NeuropathAI achieved rapid and accurate diagnosis of four of the most prevalent peripheral neuropathies globally, underscoring the potential of artificial intelligence-driven corneal image analysis for the rapid diagnosis and differentiation of peripheral neuropathies.
Authors
- Mark Stettner (ORCID: https://orcid.org/0000-0002-8836-0443)
- Uazman Alam (ORCID: https://orcid.org/0000-0002-3190-1122)
- Rayaz Ahmed Malik (ORCID: https://orcid.org/0000-0002-7188-8903)
- Maryam Ferdousi
- Chaima Ben Rabah (ORCID: https://orcid.org/0000-0003-4153-3287)
- Ioannis N. Petropoulos (ORCID: https://orcid.org/0000-0002-1126-7638)
- Ahmed Serag (ORCID: https://orcid.org/0000-0002-4145-5509)
- Nathan Efron
Institutions
- University of Liverpool (GB)
- Queensland University of Technology (AU)
- University of Staffordshire (GB)
- Manchester Academic Health Science Centre (GB)
- University of Manchester (GB)
- Aintree University Hospital (GB)
- Weill Cornell Medical College in Qatar (QA)
Publication Details
- Journal
- Annals of Clinical and Translational Neurology
- Published
- 2025-11-22
- DOI
- https://doi.org/10.1002/acn3.70255
- Primary Topic
- Ocular Surface and Contact Lens
- Type
- article
- Field-Weighted Citation Impact
- 0.00