Artificial intelligence-integrated video analysis of vessel area changes and instrument motion for microsurgical skill assessment

Abstract Mastering microsurgical skills is essential for neurosurgical trainees. Video-based analysis of target tissue changes and surgical instrument motion provides an objective, quantitative method for assessing microsurgical proficiency, potentially enhancing training and patient safety. This st...

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Autors principals:	Taku Sugiyama, Minghui Tang, Hiroyuki Sugimori, Marin Sakamoto, Miki Fujimura
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-07-01
Col·lecció:	Scientific Reports
Matèries:	Deep learning EC-IC bypass Microsurgical training Objective surgical skill evaluation Surgical education Tissue deformation
Accés en línia:	https://doi.org/10.1038/s41598-025-13522-1
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