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https://doi.org/10.5...arrow_drop_down
https://doi.org/10.58532/v3bbm...
Part of book or chapter of book . 2024 . Peer-reviewed
Data sources: Crossref
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3 - D PRINTING IN HEALTHCARE

Authors: Dr. Harshita Rao;

3 - D PRINTING IN HEALTHCARE

Abstract

In the medical field, 3D printing, also known as additive manufacturing, has gained prominence for its ability to create intricate and customized objects layer by layer from digital models. One significant application is in the production of personalized prosthetics tailored to an individual's anatomy, improving comfort and functionality. Moreover, 3D printing plays a crucial role in the development of patient-specific implants and medical devices. For instance, implants can be precisely designed to match a patient's unique anatomical features, leading to better integration and long-term success. This level of customization is particularly valuable in complex surgeries and cases where off-the-shelf solutions may not suffice. Surgeons also benefit from 3D printing technology by having access to patient-specific models for pre-operative planning. These models allow for a detailed understanding of the patient's anatomy, aiding in strategizing the surgery and potentially reducing operating time. Customized surgical tools can also be produced through 3D printing, further enhancing precision during procedures.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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