The AI Innerve Algorithm: Automatic Reproducible Reading for Intraepidermal Nerve Fiber Density Analysis, a New Tool for Small‐Fiber Neuropathy Diagnosis

C. Labeyrie; A. Lorenzo de Brionne; Olivier Trassard; Vincent Blot; O. Petit; D. Hervault; David Medernach; Olivier Morassi; C. Guettier; D. Adams; N. Brunel; C. Adam

doi:10.1111/ene.70589

April 1, 2026European Journal of NeurologyOpen Access

The AI Innerve Algorithm: Automatic Reproducible Reading for Intraepidermal Nerve Fiber Density Analysis, a New Tool for Small‐Fiber Neuropathy Diagnosis

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Key Points

The aim is to evaluate the effectiveness of the Innerve AI algorithm for analyzing intraepidermal nerve fiber density in skin biopsies.
Development of the Innerve AI algorithm for analyzing skin biopsy data.
Comparison of Innerve AI results with traditional methods of nerve fiber density analysis.
Assessment of the algorithm's reproducibility and reliability.
The Innerve AI tool significantly reduces analysis time for IENFD determinations.
The accuracy of IENFD results from the Innerve AI tool is comparable to traditional methods.
Increased diagnostic reliability for small-fiber neuropathy through automated analysis.

Implication

Innovative AI tool simplifies intraepidermal nerve fiber density analysis for small-fiber neuropathy diagnosis, suggesting increased accessibility.

Abstract

Innerve is an innovative and reliable AI tool for IENFD determinations on skin biopsies, making such analyses-which were considered time-consuming and difficult-easier for small-fiber neuropathy diagnosis.

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Cite This Study

Labeyrie et al. (2026) studied this question.

synapsesocial.com/papers/69d896a46c1944d70ce0826e https://doi.org/10.1111/ene.70589

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The AI Innerve Algorithm: Automatic Reproducible Reading for Intraepidermal Nerve Fiber Density Analysis, a New Tool for Small‐Fiber Neuropathy Diagnosis

Key Points

Implication

Abstract

Discussion

Cite This Study

The AI Innerve Algorithm: Automatic Reproducible Reading for Intraepidermal Nerve Fiber Density Analysis, a New Tool for Small‐Fiber Neuropathy Diagnosis

Key Points

Implication

Abstract

Discussion

Cite This Study

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