ArticleJournal of clinical medicine2023
Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neuropathy: A Binary Classification Model.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Artificial intelligence for detection, prediction, and severity classification of diabetic peripheral neuropathy: a systematic review.BMC medical informatics and decision making · 2026Pooled it
- Innovative strategies for diabetic peripheral neuropathy: From clinical management to emerging bioengineering solutions.Bioactive materials · 2026Review
- Deep Learning-Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy.Annals of clinical and translational neurology · 2026Article
- Article
- Evaluation of the Diagnostic Utility of Combining Electromyography with Clinical and Pathological Indices in the Diagnosis of Diabetic Peripheral Neuropathy: A Retrospective Study.Journal of multidisciplinary healthcare · 2025Article
- Applications of Artificial Intelligence in Ophthalmology: Glaucoma, Cornea, and Oculoplastics.Cureus · 2024Review
- Development and Validation of Machine Learning Models for Identifying Prediabetes and Diabetes in Normoglycemia.Diabetes/metabolism research and reviews · 2024Article
- Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study.Cardiovascular diabetology · 2024Observational
- Artificial-Intelligence-Enhanced Analysis of In Vivo Confocal Microscopy in Corneal Diseases: A Review.Diagnostics (Basel, Switzerland) · 2024Review
- Development of a transformer-based deep learning algorithm for diabetic peripheral neuropathy classification using corneal confocal microscopy images.Frontiers in cell and developmental biology · 2024Article
- Corneal Confocal Microscopy Predicts Cardiovascular and Cerebrovascular Events and Demonstrates Greater Peripheral Neuropathy in Patients with Type 1 Diabetes and Foot Ulcers.Diagnostics (Basel, Switzerland) · 2023Article
- Neighbored-attention U-net (NAU-net) for diabetic retinopathy image segmentation.Frontiers in medicine · 2023Article
- Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases (2023).International journal of ophthalmology · 2023Article
- Painful Diabetic Peripheral Neuropathy: Practical Guidance and Challenges for Clinical Management.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Diabetic peripheral neuropathy (DPN) is the leading cause of neuropathy worldwide resulting in excess morbidity and mortality. We aimed to develop an artificial intelligence deep learning algorithm to classify the presence or absence of peripheral neuropathy (PN) in participants with diabetes or pre-diabetes using corneal confocal microscopy (CCM) images of the sub-basal nerve plexus. A modified ResNet-50 model was trained to perform the binary classification of PN (PN+) versus no PN (PN-) based on the Toronto consensus criteria. A dataset of 279 participants (149 PN-, 130 PN+) was used to train (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.