Background Rapid access chest pain (RACP) clinics are designed to expedite cardiac assessment, but current pathways cause ...
Assessing intermediate coronary lesions with an intracoronary pressure wire improves clinical outcomes in patients undergoing cardiac catheterization and percutaneous coronary intervention (PCI).
Patients undergoing coronary angiography often experience anxiety both before and during the procedure, often treated by the administration of anti-anxiety medications. A new analysis being presented ...
Please provide your email address to receive an email when new articles are posted on . Performing an emergency vs. delayed coronary angiogram after out-of-hospital cardiac arrest without ST segment ...
Coronary angiography could wait among people successfully resuscitated from cardiac arrest in the absence of ST-segment elevation MI (STEMI), longer-term results from the COACT trial confirmed.
In a new publication from Cardiovascular Innovations and Applications; Xiao-lei Yin, Dong-xue Liang, Lu Wang, Jing Qiu, Zhi-yun Yang, Jian-zeng Dong and Zhao-yuan Ma from Tsinghua University, Beijing, ...
A new study found that a non-invasive, AI enabled Coronary Computer Tomography Angiography effectively identified stenosis equally well or better than the conventional gold standard of invasive ...
When IVUS did not outperform angiography for guiding percutaneous interventions in two trials, the results offered more questions than answers.
The genomic drivers of coronary artery disease (CAD) are associated with the presentation of acute coronary syndromes and the severity and burden of angiographic CAD; these drivers also predict the ...
Emirates News Agency on MSN
Al Qassimi Hospital adopts latest coronary angiography programme
SHARJAH, 19th April, 2026 (WAM) -- Al Qassimi Hospital in Sharjah, part of the Emirates Health Services (EHS), announced the launch of the latest coronary angiography programme, "Ultreon 3.0," a ...
Citation information: Analysis of Coronary Angiography Video Interpolation Methods to Reduce X-ray Exposure Frequency Based on Deep Learning, Xiao-lei Yin, Dong-xue Liang, Lu Wang, Jing Qiu, Zhi-yun ...
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