Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical applications, and unraveling challenges-Reference-Cited by-同舟云学术

Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical applications, and unraveling challenges

Published:2023-11-02 Issue:4 Volume:14 Page:645-661
ISSN:1878-5085
Container-title:EPMA Journal
language:en
Short-container-title:EPMA Journal

Author:

Fan Yishu,Song Zhenshan,Zhang Mengqi^ORCID

Funder

the Natural Science Foundations for Excellent Young Scholars of Hunan Province

the Key Research and Development Program of Hunan Province

Research Project on Education and Teaching Innovation of Central South University

the Natural Science Foundations of Hunan Province

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry (medical),Health Policy,Drug Discovery

Link

https://link.springer.com/content/pdf/10.1007/s13167-023-00343-3.pdf

Reference120 articles.

1. GBD 2016 Stroke Collaborators. Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18(5):439–58. https://doi.org/10.1016/S1474-4422(19)30034-1.

2. GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021;20(10):795–820. https://doi.org/10.1016/S1474-4422(21)00252-0.

3. Ajoolabady A, Wang S, Kroemer G, Penninger JM, Uversky VN, Pratico D, et al. Targeting autophagy in ischemic stroke: from molecular mechanisms to clinical therapeutics. Pharmacol Ther. 2021;225:107848.

4. GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–88. https://doi.org/10.1016/S0140-6736(18)32203-7. Epub 2018 Nov 8. Erratum in: Lancet. 2019;393(10190):e44. Erratum in: Lancet. 2018;392(10160):2170.

5. Feigin VL, Krishnamurthi RV, Parmar P, Norrving B, Mensah GA, Bennett DA, et al. Update on the Global Burden of Ischemic and Hemorrhagic Stroke in 1990-2013: the GBD 2013 study. Neuroepidemiology. 2015;45:161–76.

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