Systematic review reveals accurate motion tracking and real-time skill assessment in surgical trainees, indicating scalable methods for improving microsurgical training.
This is the first systematic review addressing AI applications in microsurgery and supermicrosurgery training. AI models tracking eye, hand and instrument motion for microsurgical skill assessment demonstrated accuracy and precision, enabling real-time monitoring of proficiency and workload, which are scalable, objective methods for improving training and outcomes.
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Kiew et al. (2025) studied this question.
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