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KMID : 0368820230620020086
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Journal of the Korean Neuropsychiatr Association
2023 Volume.62 No. 2 p.86 ~ p.94
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Clinical Utilization of Brain Magnetic Resonance Imaging-Based Artificial Intelligence Software in the Spectrum of Alzheimer’s Disease: Case Series
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Kim Hye-Weon
ZunHyan Rieu
Kim Dong-Hyeon
Lim Hyun-Kook
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Abstract
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Brain magnetic resonance imaging (MRI) is a key tool for diagnosing neurodegenerative diseases such as Alzheimer’s disease (AD). However, MRI analysis by visual interpretation and reading can be time-consuming and requires specialized expertise. Brain MRI-based artificial intelligence (AI) software has been developed to aid clinicians in diagnosing and managing neurodegenerative disorders, including AD. This study demonstrates the clinical application of the AI software for volumetric analysis of brain MRI scans in patients within the AD spectrum. In the current case series, four patients with memory impairment visited the memory clinic of Yeouido St. Mary’s Hospital.
They underwent a series of assessments, including automated analysis of AI-based software for brain MRI volumetric measurements. The information provided by the software was highly accurate, consistent, and was especially valuable for the early diagnosis and monitoring of disease progression. The results imply that this technology potentially aids in the early detection and management of AD, making it a valuable tool for clinicians in the diagnosis of neurodegenerative diseases.
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KEYWORD
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Alzheimer’s disease, Mild cognitive impairment, Dementia, Artificial intelligence, Magnetic resonance image, Medical image processing
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