Artificial Intelligence for Alzheimer's Disease: Promise or Challenge?
Artificial Intelligence for Alzheimer's Disease: Promise or Challenge?
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DOI：
10.3390/diagnostics11081473
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发表时间：
2021-08-14
期刊：
影响因子：
--
通讯作者：
Sancesario G
中科院分区：
文献类型：
--
作者：
Fabrizio C;Termine A;Caltagirone C;Sancesario G
几十年的实验和临床研究有助于解开阿尔茨海默病（AD）发病机制的许多机制，但这个谜仍然是不完整的。虽然我们可以假设没有一套完整的拼图，但最近从AD患者收集生活方式，临床和生物学数据的开放数据共享计划的增长提供了关于该疾病的潜在无限信息，远远超过人类理解它的能力。整合来自多组学研究的大数据提供了探索AD整个生物连续体的病理生理机制的潜力。在这种情况下，人工智能（AI）提供了各种各样的方法来分析大型和复杂的数据，以提高AD领域的知识。在这篇综述中，我们重点介绍了AI在AD研究中的最新发现和未来挑战。特别是，我们讨论了使用计算机辅助诊断工具进行AD诊断，并使用AI来潜在地支持临床实践，以预测AD转换的个体风险以及患者分层，以便最终开发有效和个性化的治疗方法。
Decades of experimental and clinical research have contributed to unraveling many mechanisms in the pathogenesis of Alzheimer’s disease (AD), but the puzzle is still incomplete. Although we can suppose that there is no complete set of puzzle pieces, the recent growth of open data-sharing initiatives collecting lifestyle, clinical, and biological data from AD patients has provided a potentially unlimited amount of information about the disease, far exceeding the human ability to make sense of it. Moreover, integrating Big Data from multi-omics studies provides the potential to explore the pathophysiological mechanisms of the entire biological continuum of AD. In this context, Artificial Intelligence (AI) offers a wide variety of methods to analyze large and complex data in order to improve knowledge in the AD field. In this review, we focus on recent findings and future challenges for AI in AD research. In particular, we discuss the use of Computer-Aided Diagnosis tools for AD diagnosis and the use of AI to potentially support clinical practices for the prediction of individual risk of AD conversion as well as patient stratification in order to finally develop effective and personalized therapies.
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影响因子：
4.6
作者：
El-Sappagh S;Alonso JM;Islam SMR;Sultan AM;Kwak KS
通讯作者：
Kwak KS
DOI：
10.1109/tbme.2015.2404809
发表时间：
2015-07
期刊：
IEEE transactions on bio-medical engineering
影响因子：
--
作者：
Cheng B;Liu M;Zhang D;Munsell BC;Shen D
通讯作者：
Shen D
影响因子：
7.7
作者：
Cabral, Carlos;Morgado, Pedro M.;Silveira, Margarida
通讯作者：
Silveira, Margarida
影响因子：
4.2
作者：
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通讯作者：
Alzheimer's Disease Neuroimaging Initiative
影响因子：
2.7
作者：
Forloni G
通讯作者：
Forloni G