Current Updates and Unmet Needs of Brain MRI-Based Artificial Intelligence Software for Patients With Neurodegenerative Diseases in the Republic of Korea
10.13104/imri.2022.26.4.237
- Author:
So Yeong JEONG
1
;
Chong Hyun SUH
;
Hwon HEO
;
Woo Hyun SHIM
;
Sang Joon KIM
Author Information
1. Department of Radiology, Hanyang University Medical Center, Hanyang University Medical College, Seoul, Korea
- Publication Type:Review Article
- From:Investigative Magnetic Resonance Imaging
2022;26(4):237-245
- CountryRepublic of Korea
- Language:English
-
Abstract:
In aging societies, incidences of neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease are increasing. Neurodegenerative diseases are bringing main challenges to the healthcare system in today’s world. Analyzing characteristic imaging patterns of patients with neurodegenerative diseases is important. Since objective and reliable imaging assessments and precise analyses can lead to early diagnosis of neurodegenerative diseases, imaging patterns are being increasingly investigated. Artificial intelligence (AI) analyzing brain MRI has been applied to neurodegenerative diseases, providing added value in early diagnosis. MRI-based AI software has been developed and studied worldwide, with some AI-based software already being used in actual clinical care. Currently, there are MRI-based volumetry and segmentation software available. There is also an unmet demand for the application of AI in neurodegenerative diseases. Here, we review current status and unmet needs for application of AI in neurodegenerative diseases. We also discuss current limitations of AI, suggestion for AI-based software, and how it can be clinically applied in the future.
