![]() 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. ![]() 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 recent years, there are much research devoted to the application of AI to TCD. 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. 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. It can provide important hemodynamic information that cannot be measured by other diagnostic imaging techniques for cerebrovascular disease. 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 usually presents clinically as an acute nonfatal event and is characterized by high morbidity, disability, and mortality. Cerebrovascular disease refers to damage to brain tissue caused by impaired intracranial blood circulation.
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