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P Veeresh,
Bharati Ainapure,
- Scholar, Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, Maharashtra, India
- Professor, Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, Maharashtra, India
Abstract
Polymeric cardiovascular biomaterials are increasingly used in biomedical applications such as vascular grafts, prosthetic components, implantable devices, and tissue-engineered cardiovascular structures because of their tunable mechanical, chemical, and biological properties. However, the long-term performance of these materials can be influenced by structural changes, tissue–biomaterial interactions, functional deterioration, and associated physiological responses. Non-invasive assessment of cardiovascular structure and function can therefore provide valuable complementary information for evaluating the performance and clinical response associated with polymeric biomaterials. In this study, a multimodal deep learning framework is developed for integrated cardiovascular assessment using cardiac magnetic resonance imaging (MRI), echocardiography, and electrocardiography (ECG). The framework combines modality-specific convolutional neural networks with a Transformer-based feature encoder and cross-attention fusion to extract and integrate structural, functional, and electrophysiological information. A multi-task learning strategy is employed for cardiac structure segmentation, left ventricular ejection fraction estimation, and ECG-based rhythm classification. The proposed framework is evaluated using established cardiovascular benchmark datasets, including the Automated Cardiac Diagnosis Challenge (ACDC), EchoNet-Dynamic, and PhysioNet ECG datasets. The experimental results demonstrate the performance of the proposed modality-specific models for cardiac segmentation, LVEF estimation, and ECG arrhythmia classification across the corresponding benchmark datasets. The proposed approach provides a computational foundation for multimodal cardiovascular structural, functional, and electrophysiological assessment. Because the benchmark datasets are not specifically associated with polymeric cardiovascular implants and do not contain polymer-specific material or implant parameters, the present study does not directly evaluate polymeric biomaterials. The framework may serve as a methodological basis for future studies incorporating implant-specific clinical data together with polymer composition, degradation characteristics, mechanical properties, and biomaterial–tissue interaction measurements.
Keywords: Polymeric cardiovascular biomaterials; Polymer composites; Multimodal medical imaging; Deep learning; Cardiovascular assessment; Cardiac MRI; Echocardiography; ECG; Cardiac segmentation; LVEF estimation; Arrhythmia classification.
References
1. Shen Y, Yu X, Cui J, Yu F, Liu M, Chen Y, et al. Development of biodegradable polymeric stents for the treatment of cardiovascular diseases. Biomolecules. 2022;12(9):1245. doi:10.3390/biom12091245.
2. Zong J, He Q, Liu Y, Qiu M, Wu J, Hu B. Advances in the development of biodegradable coronary stents: a translational perspective. Mater Today Bio. 2022;16:100368. doi:10.1016/j.mtbio.2022.100368.
3. Wang X, Chan V, Corridon PR. Acellular tissue-engineered vascular grafts from polymers: methods, achievements, characterization, and challenges. Polymers (Basel). 2022;14(22):4825. doi:10.3390/polym14224825.
4. Esmaeili H, Patino-Guerrero A, Hasany M, Ansari MO, Memic A, Dolatshahi-Pirouz A, et al. Electroconductive biomaterials for cardiac tissue engineering. Acta Biomater. 2022;139:118-140. doi:10.1016/j.actbio.2021.08.031.
5. Gao C, Song S, Lv Y, Huang J, Zhang Z. Recent development of conductive hydrogels for tissue engineering: review and perspective. Macromol Biosci. 2022;22:e2200051. doi:10.1002/mabi.202200051.
6. Ghobadi Alamdari S, Alibakhshi A, de la Guardia M, Baradaran B, Mohammadzadeh R, Amini M, et al. Conductive and semiconductive nanocomposite-based hydrogels for cardiac tissue engineering. Adv Healthc Mater. 2022;11(18):e2200526. doi:10.1002/adhm.202200526.
7. Cho S, Discher DE, Leong KW, Vunjak-Novakovic G, Wu JC. Challenges and opportunities for the next generation of cardiovascular tissue engineering. Nat Methods. 2022;19:1064-1071. doi:10.1038/s41592-022-01591-3.
8. Blum KM, Zbinden JC, Ramachandra AB, Lindsey SE, Szafron JM, Reinhardt JW, et al. Tissue-engineered vascular grafts transform into autologous neovessels capable of native function and growth. Commun Med (Lond). 2022;2. doi:10.1038/s43856-021-00063-7.
9. Zakeri Z, Salehi R, Mahkam M, Rahbarghazi R, Abbasi F, Rezaei M. Electrospun POSS integrated poly(carbonate-urea)urethane provides appropriate surface and mechanical properties for the fabrication of small-diameter vascular grafts. J Biomater Sci Polym Ed. 2022;33:1415-1434. doi:10.1080/09205063.2022.2059741.
10. Raval AJ, Parikh JK, Desai MA. Perivascular patch using biodegradable polymers: investigation of mechanical and drug elution characteristics. J Mech Behav Biomed Mater. 2023;142:105853. doi:10.1016/j.jmbbm.2023.105853.
11. Udriște AS, Niculescu AG, Iliuță L, Bajeu T, Georgescu A, Grumezescu AM, et al. Progress in biomaterials for cardiac tissue engineering and regeneration. Polymers (Basel). 2023;15(5):1177. doi:10.3390/polym15051177.
12. Shokrollahi P, Omidi Y, Cubeddu LX, Omidian H. Conductive polymers for cardiac tissue engineering and regeneration. J Biomed Mater Res B Appl Biomater. 2023;111(11):1979-1995. doi:10.1002/jbm.b.35293.
13. Mehrotra S, Dey S, Sachdeva K, Mohanty S, Mandal BB. Recent advances in tailoring stimuli-responsive hybrid scaffolds for cardiac tissue engineering and allied applications. J Mater Chem B. 2023;11:10297-10331. doi:10.1039/D3TB00450C.
14. Amiryaghoubi N, Fathi M. Bioscaffolds of graphene based-polymeric hybrid materials for myocardial tissue engineering. BioImpacts. 2024;14(1):27684. doi:10.34172/bi.2023.27684.
15. Lisboa ES, Serafim C, Santana W, Dos Santos VLS, de Albuquerque-Junior RLC, Chaud MV, et al. Nanomaterials-combined methacrylated gelatin hydrogels (GelMA) for cardiac tissue constructs. J Control Release. 2024;365:617-639. doi:10.1016/j.jconrel.2023.11.056.
16. Amiryaghoubi N, Fathi M, Javadzadeh Y. Recent advances in polymer-based scaffolds for cardiac tissue engineering. Int J Polym Mater Polym Biomater. 2024;73:1500-1524. doi:10.1080/00914037.2023.2299799.
17. Wang Y, Fu Y, Wang Q, Kong D, Wang Z, Liu J. Recent advancements in polymeric heart valves: from basic research to clinical trials. Mater Today Bio. 2024;28:101194. doi:10.1016/j.mtbio.2024.101194.
18. Patel R, Patel D. Injectable hydrogels in cardiovascular tissue engineering. Polymers (Basel). 2024;16(13):1878. doi:10.3390/polym16131878.
19. Dobrzyńska-Mizera M, et al. Engineering of bioresorbable polymers for tissue engineering and drug delivery applications. Adv Healthc Mater. 2024;13:e2401674. doi:10.1002/adhm.202401674.
20. Razavi ZS, Soltani M, Mahmoudvand G, Farokhi S, Karimi-Rouzbahani A, Farasati-Far B, et al. Advancements in tissue engineering for cardiovascular health: a biomedical engineering perspective. Front Bioeng Biotechnol. 2024;12:1385124. doi:10.3389/fbioe.2024.1385124.
21. Kazemi Asl S, Rahimzadegan M, Kazemi Asl A. Progress in cardiac tissue engineering and regeneration: implications of gelatin-based hybrid scaffolds. Int J Biol Macromol. 2024;261(Pt 2):129924. doi:10.1016/j.ijbiomac.2024.129924.
22. Xia Y, et al. Polyzwitterion-grafted decellularized bovine intercostal arteries as new substitutes of small-diameter arteries for vascular regeneration. Regen Biomater. 2024;rbae098. doi:10.1093/rb/rbae098.
23. Li H, et al. Advancements and perspectives in the bioprosthetic heart valve: a comprehensive review on biomaterial processing and emerging polymeric materials. J Am Heart Assoc. 2025;14:e043061. doi:10.1161/JAHA.125.043061.
24. Tamo AK, et al. Electrically conductive biopolymer-based hydrogels and fibrous materials fabricated using 3D printing and electrospinning for cardiac tissue engineering. Bioact Mater. 2025;51:650-719. doi:10.1016/j.bioactmat.2025.05.014.
25. Robinson A, et al. Advanced manufacturing of coil-reinforced multilayer vascular grafts to optimize biomechanical performance. Acta Biomater. 2025;198:281-290. doi:10.1016/j.actbio.2025.04.020.
Journal of Polymer & Composites
| Volume | 14 | |
| 05 | ||
| Received | 02/09/2026 | |
| Accepted | 06/10/2026 | |
| Published | 02/11/2026 | |
| Publication Time | 61 Days |