Enhancing laparoscopic surgery training: a comparative study of traditional models and automated error detection system

Enhancing laparoscopic surgery training: a comparative study of traditional models and automated error detection system

Abstract Background Although beneficial for patients through its minimally invasive nature, laparoscopic surgery creates unique training challenges due to limited instrument maneuverability, absence of stereovision, and inadequate real-time feedback. Traditional training models rely on subjective in...

Full description

Saved in:
Bibliographic Details
Main Authors: Yitian Luo, Jingjie Wang, Zongting Yan, Jingjing He, Liye Fu, Shenghan Wang, Ying Han, Yaoyu Fu, Xiandi Wang, Kang Li, Rong Yin, Dan Pu
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medical Education
Subjects:
Laparoscopic surgery
Medical training
Simulations
Surgery error reduction
Online Access:https://doi.org/10.1186/s12909-025-07242-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12909-025-07242-3

Similar Items