摘要
随着人工智能技术在医学影像领域的应用越来越广泛,其在冠状动脉CT血管成像中的应用已经显示出了巨大的潜力,对于改善图像质量、优化后处理流程、辅助病变检出、评估功能学状态、分析预后等方面具有重要的临床意义。同时,人工智能在本领域应用中也存在一些问题有待解决,需要进一步的全检查流程优化,进而增强其在应用中的实用性和高效能的展现。本文对人工智能在冠状动脉CT血管成像中的研究进展、存在问题和未来发展展望作以综述。
With the increasingly widespread application of artificial intelligence in the field of medical imaging,its application in coronary artery CT angiography has shown great potential,which helps to improve image quality,optimize post-processing processes,assist disease detection,evaluate functional status,analyse prognosis,and other aspects.Meanwhile,there arise some problems,and the full inspection process should be further optimized to enhance its practicality and efficiency.This article reviews the research progress,existing problems,and future development of artificial intelligence in coronary artery CT angiography.
作者
赵古月
尚靳
侯阳
ZHAO Guyue;SHANG Jin;HOU Yang(Department of Radiology,Shengjing Hospital of China Medical University,Shenyang 110004,Liaoning,China)
出处
《山东大学学报(医学版)》
CAS
北大核心
2023年第12期30-35,共6页
Journal of Shandong University:Health Sciences
基金
国家自然科学基金青年科学基金(82302186)。
关键词
人工智能
深度学习
冠状动脉疾病
CT
冠状动脉CT血管成像
Artificial intelligence
Deep learning
Coronary artery disease
Computed tomography
Coronary CT angiography