ARISE-NMD develops advanced Artificial Intelligence for the analysis of electromyography (EMG) and builds the world's largest annotated EMG database.
Needle electromyography (nEMG) is currently a manual, labor-intensive process reliant on visual interpretation.
The ARISE-NMD project combines clinical expertise with advanced Machine Learning. Our goal is to eliminate subjectivity from the diagnosis and set a new standard for objective analysis.
Increasing sensitivity and reducing inter-rater variability through standardized AI models.
Reducing the time needed for expert evaluation and accelerating the diagnostic path for patients.
Creating objective biomarkers suitable for use in clinical trials for new therapies.
We are building a future where data and intelligence come together to transform patient care.
Development of a fully automated ML platform that can interpret nEMG with an accuracy comparable to or better than human experts.
Creation of a large-scale, freely accessible, and annotated database with over 20,000 nEMG fragments for global research.
Collaboration with a global consortium of 20 nEMG experts to validate the model and set the standard for international diagnostics.
ARISE-NMD is a collaboration between leading academic centers and industrial partners.
LUMC
Clinical Neurophysiologist
Amsterdam UMC
Clinical Neurophysiologist
LIACS
Computer Science
Amsterdam UMC
Translational AI
LIACS
Natural Computing
LUMC / Amsterdam UMC
Technical Medicine
LIACS
Computer Science
Amsterdam UMC
Deep Learning