Schematic overview of the examine design. A) Measurements and sensor placement. B) Knowledge preprocessing. C) Validation, machine studying, and analysis. Credit score: Computer systems in Biology and Medication (2025). DOI: 10.1016/j.compbiomed.2025.110180
In a pioneering examine from the Experience Heart for Motion Problems in Groningen, machine studying, a core space of synthetic intelligence (AI), was efficiently used for the primary time to tell apart several types of motion issues from one another.
The Subsequent Transfer in Motion Problems (NEMO) challenge, led by neurologist Prof Marina de Koning-Tijssen, is the results of an progressive collaboration with the Bernoulli Institute on the College of Groningen (RUG). This examine is printed within the journal Computer systems in Biology and Medication.
Distinction between tremor and myoclonus
The primary consequence from the challenge focuses on the excellence between tremor and myoclonus, two varieties of involuntary actions which can be typically confused due to their comparable signs. Tremor is an involuntary motion typically related to widespread ailments corresponding to important tremor and Parkinson’s illness, whereas myoclonus is characterised by sudden, quick muscle contractions that may consequence from a variety of various neurological circumstances.
Elina van den Brandhof, researcher throughout the NEMO challenge, reveals that tremor and myoclonus could be very nicely distinguished with the brand new methodology. The distinction in analysis is essential for therapy, as approaches for these issues range extensively.
Recognizing signs and confirming analysis
Motion issues typically present overlapping signs, making it troublesome for docs to make the right analysis. Sufferers may additionally expertise a number of motion issues on the similar time, additional complicating the diagnostic course of. The brand new methodology makes it doable to tell apart a majority of these motion issues from one another whereas supporting the physician within the analysis made.
“The application of intelligent systems allows us to recognize and confirm diagnoses faster. This opens the door to more targeted treatments and better care for our patients,” mentioned Prof Marina de Koning-Tijssen, neurologist and head of the UMCG Experience Heart for Motion Problems in Groningen.
Enhancing medical diagnoses in direction of personalised medical care
The examine affords new views for neurology. Clever methods can course of more and more advanced knowledge, considerably enhancing the velocity and accuracy of medical diagnoses. This is a crucial step in direction of personalised take care of individuals with motion issues, the place therapies could be higher tailor-made to sufferers’ particular wants.
The collaboration between the Heart of Experience and the Bernoulli Institute of the College of Groningen marks an vital milestone in the usage of AI in medical science. The researchers count on that the know-how will ultimately be extra extensively relevant in neurology and different medical fields.
“This breakthrough is a major step forward. The use of intelligent data analysis via machine learning in neurology offers not only scientific advances, but also concrete benefits for clinical practice and a better understanding of diseases,” says Professor Michael Biehl of the Bernoulli Institute.
With this progressive growth, the Experience Heart for Motion Problems in Groningen confirms its worldwide main function within the subject of motion issues and computer-assisted medical care.
Extra data:
Elina L. van den Brandhof et al, Explainable machine studying for motion issues – Classification of tremor and myoclonus, Computer systems in Biology and Medication (2025). DOI: 10.1016/j.compbiomed.2025.110180
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Motion issues tremor and myoclonus could be nicely distinguished utilizing machine studying (2025, Might 16)
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