Cicek Vedat, Bagci Ulas
Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, Chicago, IL, United States.
Front Cardiovasc Med. 2024 Nov 21;11:1457498. doi: 10.3389/fcvm.2024.1457498. eCollection 2024.
Cardiovascular magnetic (CMR) resonance is a versatile tool for diagnosing cardiovascular diseases. While gadolinium-based contrast agents are the gold standard for identifying myocardial infarction (MI), their use is limited in patients with allergies or impaired kidney function, affecting a significant portion of the MI population. This has led to a growing interest in developing artificial intelligence (AI)-powered CMR techniques for MI detection without contrast agents. This mini-review focuses on recent advancements in AI-powered contrast-free CMR for MI detection. We explore various AI models employed in the literature and delve into their strengths and limitations, paving the way for a comprehensive understanding of this evolving field.
心血管磁共振（CMR）是诊断心血管疾病的一种多功能工具。虽然基于钆的造影剂是识别心肌梗死（MI）的金标准，但它们在过敏或肾功能受损的患者中使用受限，这影响了相当一部分心肌梗死人群。这使得人们越来越有兴趣开发用于无造影剂心肌梗死检测的人工智能（AI）驱动的CMR技术。本综述聚焦于用于心肌梗死检测的人工智能驱动的无造影剂CMR的最新进展。我们探讨了文献中使用的各种人工智能模型，并深入研究了它们的优缺点，为全面理解这一不断发展的领域铺平道路。
