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Pixyl.Neuro.MS

AI solution to support diagnosis and monitoring of multiple sclerosis (MS)

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Pixyl.Neuro.MS automatically analyses MRI images in few minutes, providing access to quantified measures of lesion volume and brain atrophy and longitudinal follow-up.

Multiple sclerosis (MS) is the most common neurological disorder affecting young adults. More than 2.3 million people worldwide are diagnosed. Magnetic resonance imaging (MRI) is used to diagnose and determine disease activity.
Pixyl.Neuro.MS

Automatic detection, quantification and characterization of lesions in anatomical areas of interest


Longitudinal analysis of disease evolution if prior exam available

"Active (new or enlarging) T2 Flair lesion volume count and volume. T2 Flair lesion volume and count, classified by region of interest. "


Automated production of a structured report and a segmented series (lesion outline) directly in the PACS


Save time by fully automating time-consuming tasks such as counting lesions or comparing with prior exam

Reduce variability in intra- and inter-operator measurements, and standardize patient monitoring

Integrate AI support directly into your existing infrastructure and regular clinical workflow

Save time, secure your diagnosis and optimize your workflow with Incepto

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Publications

  1. Thomas Mistral, Pauline Roca, Christophe Maggia, Alan Tucholka, Florence Forbes, Senan Doyle, Alexandre Krainik, Damien Galanaud, Emmanuelle Schmitt, Stéphane Kremer, Adrian Kastler, Irène Troprès, Emmanuel L. Barbier, Jean-François Payen, and Michel Dojat. “Automated quantification of brain lesion volume from post-trauma MR diffusion-weighted Images.” Frontiers in Neurology, 2022. 

  2. Bonnan M, Money P, Desblache P, Marasescu R, Puvilland LM, Demasles S, Dahan C, Krim E, Tucholka A, Doyle S, Barroso B. Focal cortical atrophy following transient meningeal enhancement in a progressive multiple sclerosis. Neurol Sci. 2021 May;42(5):1959-1961.  

  3. Pauline Roca, Arnaud Attyé, Lucie Colas, Alan Tucholka, Pascal Rubini, Stenzel Cackowski, Juliette Ding, Jean-François Budzik, Felix Renard, Senan Doyle, Emmanuel L. Barbier, Imad Bousaid, Romain Casey, Sandra Vukusic, Nathalie Lassau, Sébastien Verclytte, and François Cotton. “Artificial intelligence to predict clinical disability status scale score in patients with multiple sclerosis using FLAIR MRI” Diagnostic and Interventional Imaging 2020. 

Regulatory

Pixyl.Neuro.MS medical device is a regulated health product that bears the CE mark, Class IIa. Notified Body: TÜV Rheinland. n°0197. Manufacturer: Pixyl. Pixyl.Neuro.MS is a diagnostic tool and shall not be used alone to recommend medical care for diagnostic purposes. Please read the instructions in the user manual carefully. Please contact contact@incepto-medical.com for more information. Last update:2024/11/27

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Publisher

Pixyl is a young French startup, founded in and based in Grenoble. Its management team comes from INSERM and INRIA. At the crossroads of medicine, data science and software development, Pixyl aims to revolutionise brain imaging by offering a quantified analysis of biomarkers of neurodegenerative and neuroinflammatory diseases. Their cutting-edge technology based on Deep Learning, allowed them to finish as winners of the French Society of Radiology’s 2019 Data Challenge.