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

Taehan Yongsang Uihakhoe chi Pub Date : 2022-05-01 DOI:10.3348/jksr.2022.0048

So Yeong Jeong, Chong Hyun Suh, Ho Young Park, Hwon Heo, Woo Hyun Shim, Sang Joon Kim

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引用次数: 2

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.

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[基于脑mri的人工智能软件在神经退行性疾病患者中的应用现状]。

近年来，老年人口中神经退行性疾病的发病率有所增加。已经进行了相当数量的研究来确定这些疾病的特征。影像学分析是诊断神经退行性疾病的重要生物标志物。客观可靠的评估和准确的检测对于神经退行性疾病的早期诊断至关重要。人工智能(AI)将脑MRI应用于神经退行性疾病的研究，可以促进早期诊断和最佳治疗方案的制定。基于核磁共振的人工智能软件已经在世界范围内得到了开发和研究。具有代表性的是基于mri的体积测量和分割软件。在这篇综述中，我们介绍了神经退行性疾病脑容量分析软件的开发过程，韩国目前使用和开发的人工智能软件用于神经退行性疾病，人工智能在未来的可能用途，以及人工智能软件的局限性。

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