AIMC Topic: Simulation Training

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Automated Vision-Based Microsurgical Skill Analysis in Neurosurgery Using Deep Learning: Development and Preclinical Validation.

World neurosurgery
BACKGROUND/OBJECTIVE: Technical skill acquisition is an essential component of neurosurgical training. Educational theory suggests that optimal learning and improvement in performance depends on the provision of objective feedback. Therefore, the aim...

See Like an Expert: Gaze-Augmented Training Enhances Skill Acquisition in a Virtual Reality Robotic Suturing Task.

Journal of endourology
The da Vinci Skills Simulator (DVSS) is an effective platform for robotic skills training. Novel training methods using expert gaze patterns to guide trainees have demonstrated superiority to traditional instruction. Portable head-mounted eye-tracke...

Sensor-based indicators of performance changes between sessions during robotic surgery training.

Applied ergonomics
Training of surgeons is essential for safe and effective use of robotic surgery, yet current assessment tools for learning progression are limited. The objective of this study was to measure changes in trainees' cognitive and behavioral states as the...

Robotic Surgical Training at Home: A Low-Fidelity Simulation Method.

Journal of surgical education
OBJECTIVE: Laparoscopic box simulators provide surgical residents a cost-effective and accessible learning tool to practice basic laparoscopic skills. Despite effective, high-fidelity simulators used in robotic surgery training, a similar low-fidelit...

The effects of different levels of realism on the training of CNNs with only synthetic images for the semantic segmentation of robotic instruments in a head phantom.

International journal of computer assisted radiology and surgery
PURPOSE: The manual generation of training data for the semantic segmentation of medical images using deep neural networks is a time-consuming and error-prone task. In this paper, we investigate the effect of different levels of realism on the traini...

Roadmap for Developing Complex Virtual Reality Simulation Scenarios: Subpial Neurosurgical Tumor Resection Model.

World neurosurgery
BACKGROUND: Advancement and evolution of current virtual reality (VR) surgical simulation technologies are integral to improve the available armamentarium of surgical skill education. This is especially important in high-risk surgical specialties. Su...

Robotic simulation experience in undergraduate medical education: a perspective.

Journal of robotic surgery
Robotic surgery has been one of the most revolutionary advancements in surgery, and demand is anticipated to grow. The performance of robotic surgery has seen an exponential increase in recent years. This is largely due to the benefits offered by rob...

The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine.

PloS one
Simulation-based training is increasingly being used for assessment and training of psychomotor skills involved in medicine. The application of artificial intelligence and machine learning technologies has provided new methodologies to utilize large ...

Machine Learning Identification of Surgical and Operative Factors Associated With Surgical Expertise in Virtual Reality Simulation.

JAMA network open
IMPORTANCE: Despite advances in the assessment of technical skills in surgery, a clear understanding of the composites of technical expertise is lacking. Surgical simulation allows for the quantitation of psychomotor skills, generating data sets that...

Artificial intelligence for precision education in radiology.

The British journal of radiology
In the era of personalized medicine, the emphasis of health care is shifting from populations to individuals. Artificial intelligence (AI) is capable of learning without explicit instruction and has emerging applications in medicine, particularly rad...