J Korean Soc Radiol.  2022 May;83(3):473-485. 10.3348/jksr.2022.0048.

Brain MRI-Based Artificial Intelligence Software in Patients with Neurodegenerative Diseases: Current Status

Affiliations
  • 1Department of Radiology, Hanyang University Medical Center, Hanyang University Medical College, Seoul, Korea
  • 2Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

Abstract

The incidence of neurodegenerative diseases in the older population has increased in recent years. A considerable number of studies have been performed to characterize these diseases. Imaging analysis is an important biomarker for the diagnosis of neurodegenerative disease.
Objective
and reliable assessment and precise detection are important for the early diagnosis of neurodegenerative diseases. Artificial intelligence (AI) using brain MRI applied to the study of neurodegenerative diseases could promote early diagnosis and optimal decisions for treatment plans. MRI-based AI software have been developed and studied worldwide. Representatively, there are MRI-based volumetry and segmentation software. In this review, we present the development process of brain volumetry analysis software in neurodegenerative diseases, currently used and developed AI software for neurodegenerative disease in the Republic of Korea, probable uses of AI in the future, and AI software limitations.

Keyword

Neurodegenerative Disease; Brain; Magnetic Resonance Imaging; Artificial Intelligence
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