Key result
AI enhances TCD for acute cerebrovascular disease via signal classification, noise cancellation, and robotic assistance.
Why the study?
With increasing research applying artificial intelligence to transcranial Doppler ultrasonography, a review and summary of related technologies was needed to provide an intuitive technical summary and promote field development.
This review highlights the potential of artificial intelligence to enhance transcranial Doppler ultrasonography in diagnosing and managing acute cerebrovascular disease through improved signal processing and automated assistance.
Hypothesis-generating for AI-enhanced TCD in cerebrovascular disease; prospective trials needed before clinical adoption.
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.
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Gan et al. (2022) conducted a review in Acute cerebrovascular disease. Artificial intelligence in Transcranial Doppler (TCD) ultrasonography was evaluated. Artificial intelligence enhances Transcranial Doppler ultrasonography for acute cerebrovascular disease through signal classification, noise cancellation, and robotic assistance.
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