▶ Education to analyze medical images with AI and create an anatomical digital twin

▶ Supplied 2 units of ‘MDBOX’, an anatomy practice platform, to Seoul National University… “Maximize students’ ability to use medical information”

MEDICAL IP conducted an educational curriculum at Seoul National University College of Medicine with a medical education package that combines AI-based medical image 3D analysis technology, 3D printing, and VR/AR technology.

This curriculum, which lasted for a total of 4 weeks, was conducted under the theme of 'medical image-based AI technology and application'.

The details of the lecture are ▲Artificial intelligence medical image segmentation and analysis theory ▲Medical image analysis of congenital heart malformation disease patients using medical AI software MEDIP PRO ▲Digital twin implementation of congenital heart malformation disease ▲Digital twin-based 3D printing, VR, AR, etc.

Professor Hyungjin Choi of Seoul National University said, “This curriculum is an exercise in experiencing advanced technology that overcomes the limitations of black and white 2D data such as CT with 3D digital technology. It provides an experience of accurately identifying and analyzing a specific disease with digital tools and expanding it into a 3D digital twin using AI.”

Through this curriculum, students will be equipped with technical capabilities to lead creative innovation in medical treatment, research, education, etc. based on the medical images of individual patients in their respective medical fields in the near future.

In the survey conducted after the lecture, when asked how helpful AI segmentation training in medical images was, 43% answered that it was very helpful and 57% answered that it was very helpful, indicating that all students who participated in the class were satisfied.

86% of students responded that “digital twin-based 3D printing model is helpful for surgical planning” and 71% of students said “the work of extending the digital twin to VR was highly effective.” Using Cadaver It confirmed the learning effect differentiated from education.

In particular, the students used the anatomy education platform ‘MDBOX’ to analyze congenital heart anomalies in a virtual reality space, or to learn the digestive process, breathing process, and muscle movement with a sense of immersion. Also, by utilizing the ChatGPT function installed in the product, they learned about various anatomical information and achieved high learning outcomes.