The use of artificial intelligence in interventional cardiology.

Artificial intelligence cardiovascular diseases interventional cardiology.

Journal

Turk gogus kalp damar cerrahisi dergisi
ISSN: 1301-5680
Titre abrégé: Turk Gogus Kalp Damar Cerrahisi Derg
Pays: Turkey
ID NLM: 100887967

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 23 02 2023
accepted: 11 04 2023
medline: 4 9 2023
pubmed: 4 9 2023
entrez: 4 9 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37664782
doi: 10.5606/tgkdc.dergisi.2023.24791
pmc: PMC10472472
doi:

Types de publication

Journal Article

Langues

eng

Pagination

420-421

Informations de copyright

Copyright © 2023, Turkish Society of Cardiovascular Surgery.

Déclaration de conflit d'intérêts

Conflict of Interest: The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.

Auteurs

Hakan Göçer (H)

Department of Cardiology, Körfez Private Hospital, Balıkesir, Türkiye.

Ahmet Barış Durukan (AB)

Department of Cardiovascular Surgery, LIV Ankara Hospital, Ankara, Türkiye.
Department of Cardiovascular Surgery, Istinye University, School of Medicine, Istanbul, Türkiye.

Classifications MeSH