Kardiyolojide 3D Baskı ve Yapay Zekanın Sinerjisi: Gelecege Bir bakış.
Year 2025,
Volume: 5 Issue: 1, 39 - 40, 13.01.2025
Hakan Göçer
,
Ahmet Barış Durukan
Abstract
Üç boyutlu (3D) baskı ile yapay zekanın (AI) kesişmesi, kardiyoloji alanında devrim niteliğindeki gelişmelerin yolunu açmıştır. Bu kısa iletişim, bu güçlü sinerjinin mevcut ve potansiyel gelecekteki uygulamalarına genel bir bakış sunmakta ve aşağıdakileri göstermektedir: kardiyovasküler bakım üzerindeki dönüştürücü etkisi.
Anahtar Kelimeler: 3D baskı, Yapay Zeka, Kardiyoloji.
Ethical Statement
çalışma etik ilkelere uygundur
Supporting Institution
yok
Thanks
Sayın editor ve hakkemlere teşekkür ediyorum.
References
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The Synergy of 3D Printing and Artificial Intelligence in Cardiology: A Glimpse into the Future.
Year 2025,
Volume: 5 Issue: 1, 39 - 40, 13.01.2025
Hakan Göçer
,
Ahmet Barış Durukan
Abstract
The intersection of three dimensional (3D) printing and artificial intelligence (AI) has paved the way for revolutionary advancements in the field of cardiology. This brief communication offers an overview of the current and potential future applications of this powerful synergy, showcasing its transformative impact on cardiovascular care.
Key Words: 3D print, Artificial Intelligence, Cardiology.
References
- 1.Göçer H, Durukan AB, Tunç O, Naseri N, ErcanE.A Novel Method to Adjust Saphenous VeinGraft Lengths Using 3D Printing Models TheHeart Surgery Forum 2020;23: 2019-2765.
- 2.Göçer H, Durukan AB, Tunç O, Naseri N, Ercan E.Evaluation of 3D printed carotid anatomical models in planning carotid artery stenting. Turkish Journal of Thoracic and Cardiovascular Surgery 2020; 28: 294-300.
- 3.Göçer H, Durukan AB. The use of artificialintelligence in interventional cardiologyTurkish Journal of Thoracic and CardiovascularSurgery 2023;31: 420-421.
- 4.Panchal V, Kumar P, Garg A, Kalra MK.Artificial intelligence in cardiac CT and MRangiography: Current state and futuredirections. AJR Am J Roentgenol2020;214:1276-1286.
- 5.Wang Y, Bai W, Chen X, Zhang J, Liu J, SunY.Artificial intelligence in CT angiography:clinical applications and future prospects. QuantImaging Med Surg 2022;10: 909-922.
- 6.Rodriguez A, Rodriguez-Granillo GA,Rodriguez- Palomares, JF. Deep learning for analysis of coronary angiography. J Cardiovasc Comput Tomogr 2020;15: 23-30.
- 7.Makaryus JN, Makaryus AN, Johnson M,Ruggiero NJ. The role of artificial intelligencein enhancing coronary angiography andpercutaneous coronary intervention. CurrCardiol Rep 2020;2: 1-10.
- 8.Kaku B, Komuro K, Shoda M. Current statusand future prospects of AI in coronaryangiography. Circ J 2021;85: 383-890.