MEDICAL IP, first in Korea to apply 'Metaverse' to practical education at Seoul National University College of Medicine
MEDICAL IP and Seoul National University College of Medicine attempted
'Metaverse' application in practical education
for the first time in Korea
▶ Medical students analyzed and practiced medical data in a virtual space using VR/AR contents
▶ The goal is to increase the utilization of cutting-edge technology in the medical field by providing various practical experiences through the medical metaverse
MEDICALIP and Seoul National University College of Medicine have started nurturing medical professionals by using ‘Metaverse’ in the medical school curriculum. MEDICALIP used AI-based medical image 3D analysis technology and anatomy VR/AR contents for lectures at Seoul National University College of Medicine. Metaverse means a three-dimensional extended virtual world. It is used as a more advanced concept than virtual reality and is attracting attention as a future core industry that can be expanded to various areas such as medical care, entertainment, and 5G mobile communication.
The curriculum of The Seoul National University college of Medicine using Metaverse is ‘research and practice using 3D image software and 3D printing technology of anatomical body structures.’
By expanding the application of medical images to the virtual world, students will learn how to creatively and proactively use medical images in the fields of treatment, research, and education where they will be active in the future.
Professor Hyungjin Choi of Seoul National University, who conducted the lecture, said, “introducing the Medical Metaverse that can replace cadaver can raise the level of medical education to the next level.”
He also explains that it will help promising talents in the medical field to adapt to cutting-edge technologies more quickly and easily to take advantage of innovative technologies.”
The curriculum included ▲ 3D modeling and analysis of CT images using AI software ▲ 3D modeling-based segmentation of human body images ▲ Practice using VR/AR anatomy content based on segmented data ▲ 3D printing anatomy model production, etc.
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