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Artificial Intelligence–Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography–Guided PCI (FLASH Trial)
JACC: Cardiovascular Interventions ( IF 11.7 ) Pub Date : 2024-10-30 , DOI: 10.1016/j.jcin.2024.10.025
Yongcheol Kim MD, Hyuck-Jun Yoon MD, Jon Suh MD, Si-Hyuck Kang MD, Young-Hyo Lim MD, Duck Hyun Jang MD, Jae Hyoung Park MD, Eun-Seok Shin MD, Jang-Whan Bae MD, Jang Hoon Lee MD, Jun-Hyok Oh MD, Do-Yoon Kang MD, Jihoon Kweon PhD, Min-Woo Jo MD, Sung-Cheol Yun PhD, Duk-Woo Park MD, Young-Hak Kim MD, Seung-Jung Park MD, Hanbit Park MD, Jung-Min Ahn MD, FLASH Trial Investigators, Y. Kim, H.J. Yoon, J. Suh

Recently developed artificial intelligence–based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.

中文翻译:


基于人工智能的全自动定量冠状动脉造影与光学相干断层扫描引导 PCI(FLASH 试验)



最近开发的基于人工智能的冠状动脉造影 (AI-QCA,全自动) 可对冠状动脉造影进行实时、客观和可重现的定量分析,而无需额外的时间或劳动力。
更新日期:2024-10-30
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