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10.5606/tgkdc.dergisi.2023.24791
The use of artificial intelligence in interventional cardiology
Hakan Göçer1, Ahmet Barış Durukan2,3
1Department of Cardiology, Körfez Private Hospital, Balıkesir, Türkiye
2Department of Cardiovascular Surgery, LIV Ankara Hospital, Ankara, Türkiye
3Department of Cardiovascular Surgery, Istinye University, School of Medicine, Istanbul, Türkiye
DOI : 10.5606/tgkdc.dergisi.2023.24791
Artificial intelligence can be employed in many cardiological
applications including image analysis, risk assessment, and patient
monitoring. In the catheterization laboratory, it can act as a physician
assistant, technician, or co-worker. First, by giving voice commands to
the operator of the coronary angiography machine, it can ensure that the
C-arm moves to the desired angle. It is able to make recommendations
for stent size and type based on the analysis of angiography images
which is also possible for peripheral and carotid interventions. For
transcatheter aortic valve implantation, it can make recommendations
for valve placement and size. Artificial intelligence-based image
analysis algorithms can be used to support image analysis during
catheter laboratory procedures. The challenges include the need for
large, high-quality data sets and the development of accurate, reliable,
and interpretable artificial intelligence algorithms.
Keywords : Artificial intelligence, cardiovascular diseases, interventional cardiology
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