ArticleMedical & biological engineering & computing2026
Assessment of surgical proficiency based on evaluating muscle activity, bimanual muscle coordination, and fatigue susceptibility in simulated laparoscopic tasks.
Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- [Application of artificial intelligence for surgical skill assessment and quality control in minimally invasive surgery: progress, problems and prospect].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Surgical complications pose significant risks to patient safety and impose financial burdens, underscoring the need for reliable surgical skill training. Effective skill training requires accurate assessment. Conventional assessment methods are often subjective and labor-intensive. While motion metrics evaluate surgical performance, they provide limited insight into physiological mechanisms. This study assessed surgical proficiency through electromyography (EMG) during simulated laparoscopic tasks. Eighteen participants were recruited: five experts, five intermediates, and eight novices. EMG signals were recorded from Biceps Brachii, Triceps Brachii, Brachioradialis, Wrist Flexors, and Wrist Extensors of both arms. Root mean squared (RMS) values assessed muscle activity amplitude, mutual information (MI) quantified bimanual coordination, and instantaneous median frequency (IMDF) evaluated fatigue susceptibility. Higher skill levels, compared to lower levels, had significantly lower RMS EMG values in Biceps and Triceps, suggesting more relaxed muscle states. They exhibited significantly higher MI values, indicating superior bimanual coordination. Novices showed a significant decline in mean IMDF over trials, highlighting fatigue susceptibility, particularly in the Biceps and Triceps. These findings underscore EMG metrics' merit in objectively assessing surgical skill, providing insight into motor control, coordination, and fatigue. This multilevel physiological approach can inform training strategies and ergonomic interventions to improve surgical performance and reduce fatigue risk.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.