Building a open source framework for virtual medical training.

Area of Science:

• Medical Education Technology
• Virtual Reality Applications
• Computer Science

Background:

• Developing realistic virtual reality (VR) medical training applications is complex and time-consuming.
• Existing tools often lack flexibility and require significant programming expertise.
• There is a need for efficient frameworks to streamline the creation of specialized medical simulations.

Purpose of the Study:

• To present a novel framework for building virtual reality medical training applications.
• To introduce a tool that facilitates the class instantiation of this framework, simplifying application development.
• To enable the simulation of medical procedures, such as biopsy exams, with advanced functionalities.

Main Methods:

• Development of a VR framework with functionalities for deformation, collision detection, and stereoscopy.
• Creation of a class instantiation tool to simplify the implementation of VR application components.
• Utilizing open-source tools to ensure cost-effectiveness and accessibility.
• Case studies to demonstrate the framework's efficiency and adaptability.

Main Results:

• The framework and instantiation tool significantly ease the development of VR medical training applications.
• The system allows for quick implementation, reducing errors and development costs.
• Users can easily customize functionalities by including, deleting, or editing parameters.
• The tool supports storing and reusing customized parameters for future applications.

Conclusions:

• The proposed framework offers a fast, easy, and cost-effective solution for creating VR medical training tools.
• Computer programmers can rapidly develop and adapt initial applications to specific training needs.
• The framework enhances the efficiency and accessibility of developing advanced medical simulation systems.