Clinical Evidence
SwiftMR™ 핵심 알고리즘에
대한 소개
에어스메디컬의 ‘정근우, SwiftMR™ 제품 연구 팀장’이 저술한 “All-in-One Deep Learning Framework for MR Image Reconstruction” 논문은 MRI 기술의 획기적인 혁신을 보여줍니다. 자사의 딥러닝 알고리즘은, 기존 모델들과는 달리, 모든 측면에서의 영상 품질 향상을 한번에 달성합니다. 즉, 다차원적인 영상 품질 향상을 통해 MR 이미지 재구성 과정을 간소화하고 전통적인 방법을 능가하는 혁신적인 성능을 제공합니다.
August 5, 2024
Clinical White Paper
Clinical Implications and Use Cases of SwiftMR™
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July 23, 2024
Economic White Paper
Demonstrating the Economic Value of SwiftMR™
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June 24, 2024
Peer-Reviewed Research
Deep Learning-Based High-Resolution Magnetic Resonance Angiography (MRA) Generation Model for 4D Time-Resolved Angiography with Interleaved Stochastic Trajectories (TWIST) MRA in Fast Stroke Imaging
Our summary
This study investigated...
May 26, 2024
Technical Paper
All-in-One Deep Learning Framework for MR Image Reconstruction
Key Innovation
The article, “All-in-One Deep Learning Framework for MR Image Reconstruction,” highlights a groundbreaking innovation in MRI technology. This deep...
April 30, 2024
Technical White Paper
Optimizing SwiftMR Protocols for Diverse Applications
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April 27, 2024
Peer-Reviewed Article
Deep Learning-based Image Enhancement Techniques for Fast MRI in Neuroimaging
Our Summary
This review paper explores existing literature on the diverse applications of deep learning reconstruction (DLR) techniques for fast MR neuroimaging....
April 25, 2024
Peer-Reviewed Research
Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy
Our summary
This study explores the integration of SwiftMR in enhancing the...
December 30, 2023
Peer-Reviewed Research
Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI
Our summary
This study investigated the application of SwiftMR in enhancing the efficiency and quality of MRI scans...
November 8, 2023
Review Article
Harnessing Artificial Intelligence in Radiology to Augment Population Health
Results
AI applications can enhance imaging processes, reduce scan times, and improve image quality, thereby increasing efficiency. SwiftMR’s technology...
October 12, 2023
Peer-Reviewed Research
Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)–based reconstruction: prospective, multi-reader, multi-vendor study
Our summary
This study evaluated the performance of SwiftMR in accelerating the...
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