Artificial Intelligence based fractional flow reserve.
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| Title: | Artificial Intelligence based fractional flow reserve. |
|---|---|
| Authors: | Bednarek A; First Department of Cardiology, Medical University of Warsaw, Warsaw, Poland., Gąsior P; Division of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland., Jaguszewski M; First Department of Cardiology, Medical University of Gdansk, Gdansk, Poland., Buszman PP; Department of Cardiology, Andrzej Frycz Modrzewski Krakow University, Bielsko-Biala, Poland.; American Heart of Poland, Center for Cardiovascular Research and Development, Katowice, Poland., Milewski K; Academy of Silesia, Faculty of Medicine, Katowice, Poland.; Cardiology and Cardiac Surgery Center in Bielsko-Biala, American Heart of Poland, Bielsko-Biała, Poland., Hawranek M; Third Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland., Gil R; Department of Cardiology, National Medical Institute of Internal Affairs and Administration Ministry, Warsaw, Poland., Wojakowski W; Division of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland., Kochman J; First Department of Cardiology, Medical University of Warsaw, Warsaw, Poland., Tomaniak M; First Department of Cardiology, Medical University of Warsaw, Warsaw, Poland. mariusz.tomaniak@wum.edu.pl. |
| Source: | Cardiology journal [Cardiol J] 2025; Vol. 32 (5), pp. 487-504. Date of Electronic Publication: 2025 Aug 14. |
| Publication Type: | Journal Article; Review; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Via Medica Country of Publication: Poland NLM ID: 101392712 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1898-018X (Electronic) Linking ISSN: 1898018X NLM ISO Abbreviation: Cardiol J Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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