The study on TAVR Medical Twin Method Based on Real World Data(RWD)

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초록

TAVR is becoming a standard procedure that can treat aortic valve stenosis without surgery, and accordingly, simulations to predict complications before TAVR procedures and obtain specific information are important. In this paper, we design a medical twin virtual environment based on Real World Data obtained from clinical patients to simulate TAVR procedures in advance. We implement a real-time digital twin model through synchronization of RWD, and design and study a framework capable of analysis and simulation.

키워드

TAVR; Medical Twin; Real World Data; AORTIC-VALVE-REPLACEMENT; STENOSIS
제목
The study on TAVR Medical Twin Method Based on Real World Data(RWD)
저자
Hyun, Se-Min; Lee, KangYoon
DOI
10.1109/ICOIN56518.2023.10049049
발행일
2023-01
유형
Proceedings Paper
저널명
2023 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, ICOIN
페이지
678 ~ 682