Artificial Intelligence and Deep Learning in Musculoskeletal Magnetic Resonance Imaging
- Author:
Seung Dae BAEK
1
;
Joohee LEE
;
Sungjun KIM
;
Ho-Taek SONG
;
Young Han LEE
Author Information
- Publication Type:Review Article
- From:Investigative Magnetic Resonance Imaging 2023;27(2):67-74
- CountryRepublic of Korea
- Language:English
- Abstract: The application of artificial intelligence (AI) and deep learning (DL) in radiology is rapidly evolving. AI in healthcare has benefits for image recognition, classification, and radiological workflows from a clinical perspective. Additionally, clinical triage AI can be applied to triage systems. This review aims to introduce the concept of DL and discuss its applications in the interpretation of magnetic resonance (MR) images and the DL-based reconstruction of accelerated MR images, with an emphasis on musculoskeletal radiology. The most recent developments and future directions are also discussed briefly.
