Characterization of Surgical Movements As a Training Tool for Improving Efficiency
B Grewal, A Kianercy, R Gerrah - Journal of Surgical Research, 2024 - Elsevier
Introduction Surgical experience is often reflected by efficient, fluid, and well-calculated
movements. For a new trainee, learning these characteristics is possible only by observation …
movements. For a new trainee, learning these characteristics is possible only by observation …
Analyzing the Evolution of Needle and Ultrasound Probe Manipulation Skills of Interventional Radiology Trainees With Time and Experience
Purpose To test the hypothesis that hand motion analysis can measure the progression of
needle and ultrasound probe manipulation skills of interventional radiology trainees in …
needle and ultrasound probe manipulation skills of interventional radiology trainees in …
The Effect of Time Pressure on Motion Economy and Smoothness of Interventional Radiology Trainee Performance in Simulated Central Venous Line Placement
Purpose To evaluate the effect of being under time pressure on procedural performance
using hand motion analysis. Materials and Methods Eight radiology trainees performed …
using hand motion analysis. Materials and Methods Eight radiology trainees performed …
Influence of Surgeon's Expertise on the Duration of Approach and Closure during Osteosynthesis of Distal Radius Fractures
Background The aim of this study was to determine whether the duration of the approach
(PII) and closure (PV) phases for minimally invasive plate osteosynthesis (MIPO) of distal …
(PII) and closure (PV) phases for minimally invasive plate osteosynthesis (MIPO) of distal …
[HTML][HTML] Expert–Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism
T Seino, N Saito, T Ogawa, S Asamizu, M Haseyama - Sensors, 2024 - mdpi.com
In this study, we propose a classification method of expert–novice levels using a graph
convolutional network (GCN) with a confidence-aware node-level attention mechanism. In …
convolutional network (GCN) with a confidence-aware node-level attention mechanism. In …
[HTML][HTML] Enhanced 2D Hand Pose Estimation for Gloved Medical Applications: A Preliminary Model
AW Kiefer, D Willoughby, RP MacPherson, R Hubal… - Sensors, 2024 - mdpi.com
(1) Background: As digital health technology evolves, the role of accurate medical-gloved
hand tracking is becoming more important for the assessment and training of practitioners to …
hand tracking is becoming more important for the assessment and training of practitioners to …
Comparison of Wired and Wireless Electromagnetic Hand Motion Tracking in Central Venous Access: Are They Equivalent Enough to Cut the Cord?
H Ali, O Metrouh, M Ahmed, JD Mitchell… - Medical Engineering & …, 2025 - Elsevier
Purpose This study aims to compare a commercially available wired and wireless tracker in
motion analysis of interventional radiologists performing simulated ultrasound-guided …
motion analysis of interventional radiologists performing simulated ultrasound-guided …
Evaluation of Technical Performance of Ultrasound-Guided Procedures through Hand Motion Analysis: An Exploration of Motion Metrics
Purpose To evaluate the ability of hand motion analysis using conventional and new motion
metrics to differentiate between operators of varying levels of experience for central venous …
metrics to differentiate between operators of varying levels of experience for central venous …