Surgical Simulation and Training

Evaluating and Classifying Gentleness in VR-Based Surgical Simulation: A VR+fNIRS Study

This paper evaluates and classifies gentleness in VR-based surgical simulations using fNIRS-derived hemodynamic features and machine learning models, finding that slope-based features and certain classifiers achieve high accuracy in distinguishing performance levels.

Improving the learning curve in monoportal endoscopic lumbar surgery: development and validation of a porcine training model.

The paper develops and validates a porcine model for training in lumbar endoscopic surgery, showing a learning curve effect with reduced operative times.

Visuo-motor transformations in the intraparietal sulcus mediate the acquisition of endovascular medical skill

This study investigates brain plasticity in the intraparietal sulcus during endovascular skill acquisition using multimodal MR imaging.

Efference information flow during skill acquisition mediates its interaction with medical simulation technology

This study examines how efference information flow during skill acquisition interacts with medical simulation technology, showing skill level and simulation type affect brain network dynamics.

Skill acquisition and gaze behavior during laparoscopic surgical simulation

This study compares gaze patterns between expert surgeons and trained novices in laparoscopic surgery, finding that novices match behavioral performance but show less efficient gaze behavior.

Assessing bimanual motor skills with optical neuroimaging

This paper introduces an optical neuroimaging method to objectively classify bimanual motor skill expertise, showing it outperforms current metrics in surgical certification.