Transcranial Doppler analysis based on computer and artificial intelligence for acute cerebrovascular disease
-
Published:2023
Issue:2
Volume:20
Page:1695-1715
-
ISSN:1551-0018
-
Container-title:Mathematical Biosciences and Engineering
-
language:
-
Short-container-title:MBE
Author:
Gan Lingli1, Yin Xiaoling2, Huang Jiating3, Jia Bin2
Affiliation:
1. Department of Neurology, Chongqing General Hospital, Chongqing 401147, China 2. Department of Neurosurgery, Chongqing General Hospital, Chongqing 401147, China 3. Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China
Abstract
<abstract>
<p>Cerebrovascular disease refers to damage to brain tissue caused by impaired intracranial blood circulation. It usually presents clinically as an acute nonfatal event and is characterized by high morbidity, disability, and mortality. Transcranial Doppler (TCD) ultrasonography is a non-invasive method for the diagnosis of cerebrovascular disease that uses the Doppler effect to detect the hemodynamic and physiological parameters of the major intracranial basilar arteries. It can provide important hemodynamic information that cannot be measured by other diagnostic imaging techniques for cerebrovascular disease. And the result parameters of TCD ultrasonography such as blood flow velocity and beat index can reflect the type of cerebrovascular disease and serve as a basis to assist physicians in the treatment of cerebrovascular diseases. Artificial intelligence (AI) is a branch of computer science which is used in a wide range of applications in agriculture, communications, medicine, finance, and other fields. In recent years, there are much research devoted to the application of AI to TCD. The review and summary of related technologies is an important work to promote the development of this field, which can provide an intuitive technical summary for future researchers. In this paper, we first review the development, principles, and applications of TCD ultrasonography and other related knowledge, and briefly introduce the development of AI in the field of medicine and emergency medicine. Finally, we summarize in detail the applications and advantages of AI technology in TCD ultrasonography including the establishment of an examination system combining brain computer interface (BCI) and TCD ultrasonography, the classification and noise cancellation of TCD ultrasonography signals using AI algorithms, and the use of intelligent robots to assist physicians in TCD ultrasonography and discuss the prospects for the development of AI in TCD ultrasonography.</p>
</abstract>
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine
Reference115 articles.
1. M. Portegies, P. Koudstaal, M. Ikram, Cerebrovascular disease, Handb. Clin. Neurol., 138 (2016), 239–261. https://doi.org/10.1016/B978-0-12-802973-2.00014-8 2. X. Tong, Q. Yang, M. D. Ritchey, M. G. George, S. L. Jackson, C. Gillespie, et al., The burden of cerebrovascular disease in the United States, Prev. Chronic. Dis., 16 (2019), 180411. https://doi.org/10.5888/pcd16.180411 3. S. Yoshimura, N. Sakai, H. Yamagami, K. Uchida, M. Beppu, K. Toyoda, et al., Endovascular therapy for acute stroke with a large ischemic region, N. Engl. J. Med., 386 (2022), 1303–1313. https://doi.org/10.1056/NEJMoa2118191 4. Q. Z. Tuo, S. T. Zhang, P. Lei, Mechanisms of neuronal cell death in ischemic stroke and their therapeutic implications, Med. Res. Rev., 42 (2022), 259–305. https://doi.org/10.1002/med.21817 5. K. N. Kadyrovich, S. K. Erkinovich, K. M. Ilhomovna, Microscopic examination of postcapillary cerebral venues in hemorrhagic stroke, Am. J. Med. Sci. Pharm. Res., 3 (2021), 69–73. https://doi.org/10.37547/TAJMSPR/Volume03Issue08-11
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|