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Cited by 369

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Medical applications of shape memory polymers

Open access
Sokolowski, Witold, Metcalfe, Annick, Hayashi, Shunichi, Yahia, L'Hocine, Raymond, Jean·2007·Biomedical Materials

Abstract

Shape memory polymers (SMP) are lightweight, have a high strain/shape recovery ability, are easy to process, and required properties can be tailored for variety of applications. Recently a number of medical applications have been considered and investigated, especially for polyurethane-based SMP. SMP materials were found to be biocompatible, non-toxic and non-mutagenic. The glass transition temperature (T(g)) can be tailored for shape restoration/self-deployment of clinical devices when inserted in the human body. Newly developed SMP foams, together with cold hibernated elastic memory (CHEM) processing, further broaden their potential biomedical applications. Polyurethane-based SMP are described here and major advantages are identified over other medical materials. Some SMP applications are already used in a clinical setting, whereas others are still in development. Lately, several important applications are being considered for CHEM foams as self-deployable vascular and coronary devices. One example is the endovascular treatment of aneurysms.

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Metadata

Authors
Sokolowski, W., Metcalfe, A., Hayashi, S., Yahia, L., & Raymond, J.
Venue
Biomedical Materials
Published
2007-03
Volume
2
Issue
1
Pages
S23-S27
ISSN
  • 1748-6041 (ISSN-L)
  • 1748-605X
OpenAlex
W2121648403
Cited by
369
References
3
FWCI
13.66
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Medical applications of shape memory polymers. https://app.cochat.ai/papers/10.1088/1748-6041/2/1/s04
The paper
Sokolowski, W., Metcalfe, A., Hayashi, S., Yahia, L., & Raymond, J. (2007). Medical applications of shape memory polymers. Biomedical Materials. https://doi.org/10.1088/1748-6041/2/1/s04

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.