神经成像和机器学习用于研究从轻度认知障碍到阿尔茨海默病的途径:系统性审查
Maryam Ahmadzadeh1, Gregory J Christie1, Theodore D Cosco2,3
1School of Interactive Arts and Technology, Simon Fraser University, 250 - 13450 102 Ave, Surrey, BC, Canada.
BMC neurology
|August 23, 2023
概括
先进的机器学习和神经成像显示出预测阿尔茨海默病痴呆症进展从轻度认知障碍的前景. 本综述综合了当前的方法和未来的研究方向.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 轻度认知障碍 (MCI) 是阿尔茨海默氏症痴呆症 (AD) 的前体.
- 准确预测MCI转化为AD对于及时干预至关重要.
- 神经成像和机器学习为早期检测提供了潜力.
结论:
- 神经成像与机器学习相结合,是预测阿尔茨海默病进展的有希望的途径.
- 确定了该领域的挑战和未来研究方向.
- 系统审查协议注册 (CRD42019133402) 并发表在系统审查杂志上.
相关概念视频
Alzheimer's Disease: Overview
518
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
518
Brain Imaging
258
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
258


