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...

Descripción completa

Detalles Bibliográficos

Autores principales:	Taku Sugiyama, Minghui Tang, Hiroyuki Sugimori, Marin Sakamoto, Miki Fujimura
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2025-07-01
Colección:	Scientific Reports
Materias:	Deep learning EC-IC bypass Microsurgical training Objective surgical skill evaluation Surgical education Tissue deformation
Acceso en línea:	https://doi.org/10.1038/s41598-025-13522-1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!