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In his fund youll find stentmaker Boston Scientific, dental implant specialist Zimmer Holdings and Stryker Corp. Stryker is in the business of joint reconstruction but also makes surgical navigation equipment.
This is mainly for simplicity, and there is plenty of room for the development of joint reconstruction algorithms given nonlinear mappings; however, we present a number of scenarios where a linear mapping can be found.
Modern metal-on-metal hip resurfacing was introduced as a bone-preserving method of joint reconstruction for young and active patients; however, the large diameter of the bearing surfaces is of concern for potentially increased metal ion release.
In the first step, stable stem fixation can be achieved regardless of joint reconstruction parameters; in the second step, the anatomical reconstruction of the joint is done by selecting the appropriate neck.
This investigation on 24 patients with distal intraarticular humerus fractures treated with ORIF using a triceps reflecting approach revealed excellent exposure regarding the quality of joint reconstruction and no relevant objective (strength) or subjective (Quick-DASH, Mayo Elbow Performance Score) functional impairment related to the surgical exposure.
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This bias in parameter estimation leads to error in the probabilities of joint reconstructions.
These MLEs are employed in calculations of the posterior probabilities of joint reconstructions of nucleotides at ancestral nodes [65].
We have presented a geometric framework in which many multi-view imaging problems may be cast and explained how this framework can inform the design of effective manifold lifting algorithms for joint reconstruction.
The objective of a joint reconstruction method is to find the combination of amino acids for an internal node set { A i } that maximize the conditional probability of this amino acid combination, given the leaf node amino acid set { A l } and a tree T, P({ A i }|{ A l }, T).
New virtual surgery planning techniques like CAD/CAM and advances in biomaterials have made it possible to undertake increasingly complex cases of temporomandibular joint reconstruction.
For these problems, we explain how viewing the unknown images as living along a low-dimensional manifold within the high-dimensional signal space can inform the design of effective joint reconstruction algorithms.
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