Application progress of artificial intelligence in cardiovascular and cerebrovascular interventional diagnosis and treatment–from single imaging modality to multimodal imaging fusion

doi:10.3877/cma.j.issn.1673-9248.2026.03.014

Abstract

Abstract:

Cardiovascular and cerebrovascular diseases are a serious threat to human health. Endovascular interventional therapy is an important means for treating these diseases. In recent years, the emergence and application of artificial intelligence (AI) technology in the medical field, particularly the rapid development of the clinical application of deep learning, have provided significant opportunities for the innovation and optimization of cardiovascular and cerebrovascular interventional diagnosis and treatment pathways. AI innovation brings a technological revolution and innovative paradigms, reshaping the current landscape and future development paths of cardiovascular and cerebrovascular disease diagnosis and treatment. This article provides a comprehensive overview of the current state of AI technology in the medical field and its latest applications in cardiovascular and cerebrovascular interventional diagnosis and treatment.

Key words: Cardiovascular and cerebrovascular diseases, Endovascular interventional therapy, Artificial intelligence, Deep learning, Multimodality imaging fusion

Lin Xu, Xun Jian, Daoquan Liu, Dong Yi, Hua Yan. Application progress of artificial intelligence in cardiovascular and cerebrovascular interventional diagnosis and treatment–from single imaging modality to multimodal imaging fusion[J]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2026, 20(03): 334-341.

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