首页|Amsterdam University Medical Center Reports Findings in Artifi- cial Intelligence (Artificial intelligence for automatic classification of needle EMG signals: A scoping review)
Amsterdam University Medical Center Reports Findings in Artifi- cial Intelligence (Artificial intelligence for automatic classification of needle EMG signals: A scoping review)
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2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news reporting out of Amsterdam, Netherlands, by NewsRx editors, research stated, “This scoping review pro- vides an overview of artificial intelligence (AI), including machine and deep learning techniques, in the interpretation of clinical needle electromyography (nEMG) signals. A comprehensive search of Medline, Embase and Web of Science was conducted to find peer-reviewed journal articles.” Our news journalists obtained a quote from the research from Amsterdam University Medical Center, “All papers published after 2010 were included. The methodological quality of the included studies was assessed with CL(checklist for artificial intelligence in medical imaging). 51 studies were identified that fulfilled the inclusion criteria. 61% used open-source EMGlab data set to develop models to classify nEMG signal in healthy, amyotrophic lateral sclerosis (ALS) and myopathy (25 subjects). Only two articles devel- oped models to classify signals recorded at rest. Most articles reported high performance accuracies, but many were subject to bias and overtraining. Current AI-models of nEMG signals are not sufficient for clin- ical implementation. Suggestions for future research include emphasizing the need for an optimal training and validation approach using large datasets of clinical nEMG data from a diverse patient population.”
AmsterdamNetherlandsEuropeArtificial IntelligenceEmerg- ing TechnologiesMachine Learning
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