Exploring the Impact of Hand Dominance on Laparoscopic Surgical Skills Development Using Network Models

S Malisetty, E Rastegari, KC Siu, HH Ali - Journal of Clinical Medicine, 2024 - mdpi.com
Background: Laparoscopic surgery demands high precision and skill, necessitating effective
training protocols that account for factors such as hand dominance. This study investigates …

An Innovative Comparative Analysis Approach for the Assessment of Laparoscopic Surgical Skills

S Malisetty, HH Ali, E Rastegari, KC Siu - Surgeries, 2023 - mdpi.com
Over the past few decades, surgeon training has changed dramatically. Surgical skills are
now taught in a surgical skills laboratory instead of the operating room. Simulation-based …

[图书][B] Improving surgical motor skill assessment and acquisition via neuromodulation, neuroimaging, and machine learning

Y Gao - 2020 - search.proquest.com
The traditional surgical apprenticeship model of “see one, do one, teach one” that was
standardized by Halsted more than a century ago is still in effect in residency programs …

Neuroanatomical correlates of laparoscopic surgery training

P Bahrami, SJ Graham, TP Grantcharov… - Surgical …, 2014 - Springer
Background Better understanding of the brain regions involved in performing laparoscopic
surgery is likely to provide important insights for improving laparoscopic training and …

SP2. 1.1 continuous monitoring and assessment of surgical technical skills using deep learning

R Yilmaz, A Winkler-Schwartz, A Reich… - British Journal of …, 2021 - academic.oup.com
Aims Excellent surgical technical skills are of paramount importance to perform surgical
procedures, safely and efficiently. Virtual reality surgical simulators can both simulate real …

Effects of hand dominance and postural selection on muscle activities of virtual laparoscopic surgical training tasks

CK Huang, A Boman, A White… - Medicine Meets Virtual …, 2016 - books.google.com
This study investigated how the ergonomic factors, such as hand dominance and postural
selection, influenced on surgical performance regarding the changes of muscle activity …

[HTML][HTML] Laparoscopic motor learning and workspace exploration

AD White, F Mushtaq, O Giles, ML Wood, C Mole… - Journal of Surgical …, 2016 - Elsevier
Background Laparoscopic surgery requires operators to learn novel complex movement
patterns. However, our understanding of how best to train surgeons' motor skills is …

Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learning

SB Shafiei, S Shadpour, X Intes, R Rahul, MS Toussi… - Surgical …, 2023 - Springer
Objective This study explored the use of electroencephalogram (EEG) and eye gaze
features, experience-related features, and machine learning to evaluate performance and …

Analyzing surgical technique in diverse open surgical videos with multitask machine learning

ED Goodman, KK Patel, Y Zhang, W Locke… - JAMA …, 2024 - jamanetwork.com
Objective To overcome limitations of open surgery artificial intelligence (AI) models by
curating the largest collection of annotated videos and to leverage this AI-ready data set to …

Use of a machine learning algorithm to classify expertise: Analysis of hand motion patterns during a simulated surgical task

RA Watson - Academic Medicine, 2014 - journals.lww.com
Purpose To test the hypothesis that machine learning algorithms increase the predictive
power to classify surgical expertise using surgeons' hand motion patterns. Method In 2012 at …