首页|The Application of Artificial Intelligence in Alzheimer's Research

The Application of Artificial Intelligence in Alzheimer's Research

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Alzheimer's disease(AD)is an irreversible and neurodegenerative disease that slowly impairs memory and neurocognitive function,but the etiology of AD is still unclear.With the explosive growth of electronic health data,the application of artificial intelligence(AI)in the healthcare setting provides excellent potential for exploring etiology and personalized treatment approaches,and improving the disease's diagnostic and prognostic outcome.This paper first briefly introduces Al technologies and applications in medicine,and then presents a comprehensive review of Al in AD.In simple,it includes etiology discovery based on genetic data,computer-aided diagnosis(CAD),computer-aided prognosis(CAP)of AD using multi-modality data(genetic,neuroimaging and linguistic data),and pharmacological or non-pharmacological approaches for treating AD.Later,some popular publicly available AD datasets are introduced,which are important for advancing Al technologies in AD analysis.Finally,core research challenges and future research directions are discussed.

Alzheimer's diseaseartificial intelligenceetiology discoverycomputer-aided diagnosiscomputer-aided prognosistreatment

Qing Zhao、Hanrui Xu、Jianqiang Li、Faheem Akhtar Rajput、Liyan Qiao

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Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China

School of Medicine,Tsinghua University,Beijing 100084,China

Department of Computer Science,Sukkur IBA University,Sukkur 65200,Pakistan

Department of Neurology,Tsinghua University Yuquan Hospital,Beijing 100040,China

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National Key R&D Program of ChinaBeijing Postdoctoral Research Foundation

2020YFB21044022022ZZ075

2024

清华大学学报自然科学版(英文版)
清华大学

清华大学学报自然科学版(英文版)

CSTPCDEI
影响因子:0.474
ISSN:1007-0214
年,卷(期):2024.29(1)
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