Artificial Intelligence and Deep Learning in Musculoskeletal Magnetic Resonance Imaging

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Authors: Baek, Seung Dae ; Lee, Joohee ; Kim, Sungjun ; Song, Ho-Taek ; Lee, Young Han

Citation: Investigative Magnetic Resonance Imaging, Vol.27(2) : 67-74, 2023-06

Keywords: Artificial intelligence ; Deep learning ; Magnetic resonance imaging ; Musculoskeletal

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. © 2023 Korean Society of Magnetic Resonance in Medicine.

Appears in Collections:: 1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

Yonsei Authors: Kim, Sungjun(김성준) https://orcid.org/0000-0002-7876-7901
Song, Ho Taek(송호택) https://orcid.org/0000-0002-6655-2575
Lee, Young Han(이영한) https://orcid.org/0000-0002-5602-391X
Lee, Joohee(이주희) https://orcid.org/0000-0002-7721-8935

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