ArticleBMC medical education2024
An intelligent grasper to provide real-time force feedback to shorten the learning curve in laparoscopic training.
Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The cyber-physical paradigm for lifetime aortic valve management: a synthesis of robotics, artificial intelligence, and augmented reality.Journal of robotic surgery · 2026Review
- Integrating subjective perceptions and objective video analysis to identify challenges in laparoscopic suturing: a cross-sectional study to enhance surgical training.Scientific reports · 2026Article
- Article
- Impact of laparoscopic training, haptic feedback and visual haptic latency on virtual fine motor performance.Scientific reports · 2025Article
- Intelligent laparoscopic grasper with hybrid neural networks for real-time vascular detection in minimally invasive surgery.Journal of biomedical optics · 2025Article
- Exploring the Role of Artificial Intelligence (AI)-Driven Training in Laparoscopic Suturing: A Systematic Review of Skills Mastery, Retention, and Clinical Performance in Surgical Education.Healthcare (Basel, Switzerland) · 2025Review
- Pilot Evaluation of Silicone Surrogates for Oral Mucosa Simulation in Craniofacial Surgical Training.Biomimetics (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA lack of force feedback in laparoscopic surgery often leads to a steep learning curve to the novices and traditional training system equipped with force feedback need a high educational cost. This study aimed to use a laparoscopic grasper providing force feedback in laparoscopic training which can assist in controlling of gripping forces and improve the learning processing of the novices.
methodsFirstly, we conducted a pre-experiment to verify the role of force feedback in gripping operations and establish the safe gripping force threshold for the tasks. Following this, we proceeded with a four-week training program. Unlike the novices without feedback (Group A
resultsIn the pre-experiment, we set the gripping force threshold for the tasks based on the experienced surgeons' performance. This is reasonable as the experienced surgeons have obtained adequate skill of handling grasper. The thresholds for task 1, 2, and 3 were set as 0.731 N, 1.203 N and 0.938 N, respectively. With force feedback, the gripping force applied by the novices with feedback (Group B
conclusionOur study shows that using a grasper providing force feedback in laparoscopic training can help to control the gripping force and shorten the learning curve. It is anticipated that the laparoscopic grasper equipped with FBG sensor is promising to provide force feedback during laparoscopic training, which ultimately shows great potential in laparoscopic surgery.
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Registered trials
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