The Use of Artificial Intelligence in the Management of Neurodegenerative Disorders; Focus on Alzheimer's Disease

被引：0

作者：

Dabbaghi, Khazar Ghasempour ^{[1
]}

Khosravirad, Zahra ^{[2
]}

Jamalnia, Sheida ^{[3
]}

GhorbaniNia, Rahil ^{[4
]}

Mahmoudikohani, Fatemeh ^{[5
]}

Zakeri, Habib ^{[6
]}

Khastehband, Solmaz ^{[7
]}

机构：

[1] Tabriz Univ Med Sci, Sch Med, Tabriz 5155668474, Iran

[2] Kowsar Hosp, Dept Qual Improvement, Shiraz, Iran

[3] Islamic Azad Univ, Dept Nursing & Midwifery, Kazeroun Branch, Kazeroun, Iran

[4] Bam Univ Med Sci, Noncommunicable Dis Res Ctr, Bam, Iran

[5] Bam Univ Med Sci, Sch Nursing & Midwifery, Dept Midwifery, Bam, Iran

[6] Shiraz Univ Med Sci, Res Ctr Neuromodulat & Pain, NAB Pain Clin, Shiraz, Iran

[7] Islamic Azad Univ, Dept Educ Management, South Tehran Branch, Tehran, Iran

来源：

GALEN MEDICAL JOURNAL | 2023年 / 12卷

关键词：

Artificial Intelligence; Neurodegenerative Diseases; Alzheimer; MILD COGNITIVE IMPAIRMENT; BIOMARKERS; DIAGNOSIS;

D O I：

10.31661/gmj.v12i0.3061

中图分类号：

R-3 [医学研究方法]; R3 [基础医学];

学科分类号：

1001 ;

摘要：

Recent advances in artificial intelligence (AI) have shown great promise in the diagnosis, prediction, treatment plans, and monitoring of neurodegenerative disorders. AI algorithms can analyze huge quantities of data from numerous sources, including medical images, quantifiable proteins in urine, blood, and cerebrospinal fluid (CSF), genetic information, clinical records, electroencephalography (EEG) signals, driving behaviors, and so forth. Alzheimer's disease (AD) is one of the most common neurodegenerative disorders that progressively damage cognitive abilities and memory. This study specifically explores the possible application of AI in the diagnosis, prediction, monitoring, biomarker or drug discovery, and classification of AD. [GMJ.2023;12:e3061] DOI:10.31661/gmj.v12i0.3061

引用

页数：7

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