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Ankle prosthesis tibial component with composite coating and method of making

PendingCN122251162APromote ingrowthpromote proliferationAnkle jointsJoint implantsAlloy substrateSurgical implant
The present application belongs to the field of foot and ankle surgical implant devices and biomedical material surface engineering technology, and discloses a tibial component of ankle prosthesis with a composite coating, which comprises: a metal substrate which is a bionic trabecular three-dimensional interconnected porous titanium alloy structure, the porosity is 50-80%, the average pore size is 400-900 mu m, and the connected porosity is greater than or equal to 85%, so that the elastic modulus is controlled in the range of 5-20 GPa, and is matched with the cancellous bone of the tibia; a composite functional coating is in situ grown on the surface of the metal substrate, and the composite functional coating comprises a bioactive layer and a functional ion doped layer. The tibial component of the present application comprises a porous titanium alloy metal substrate and a composite functional coating constructed in situ on the surface thereof, the porous titanium alloy substrate is designed in a bionic trabecular structure to form a three-dimensional interconnected porous structure, so as to provide an elastic modulus matched with the cancellous bone of the tibia and promote the growth of bone tissue.
Owner:SHANGHAI SIXTH PEOPLES HOSPITAL +1

A Medical Device Supply Chain Recommendation Method and System Based on Large Language Model

ActiveCN121458343BRealize intelligent recommendationmeet business needsHealthcare managementKnowledge representationLinguistic modelKnowledge graph
This invention provides a medical device supply chain recommendation method and system based on a large language model, belonging to the field of model-assisted technology. The method includes acquiring demand descriptions and converting them into structured vectors, constructing a domain knowledge graph to perform multi-hop reasoning to identify collaborative paths, generating adversarial disturbance analysis to reconstruct failure modes and the supply chain, establishing a risk propagation graph to identify trigger points and generate hierarchical prevention and control strategies. This method can effectively improve the accuracy of intelligent recommendations for the medical device supply chain, enhance the supply chain's robustness and risk response capabilities.
Owner:钰兔科技集团有限公司