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Background
Robotic‐assisted total knee arthroplasty (TKA) was performed to promote the accuracy of bone resection and mechanical alignment. Among these TKA system procedures, 3D reconstruction of CT data of lower limbs consumes significant manpower. Artificial intelligence (AI) algorithms applying deep learning has been proved efficient in automated identification and visual processing.
Methods...
Background
The purpose of this study was to compare the accuracy of this new HURWA robotic‐assisted total knee arthroplasty (TKA) technique to the accuracy of the conventional technique in a sawbone model.
Methods
The HURWA robotic‐assisted TKA system was applied in the robotic group. After bone resection, all of these sawbones were scanned by the use of a structured light scanning system. Measurements...
Background
We investigated the accuracy and safety of a new HURWA robotic‐assisted total knee arthroplasty (TKA) system in a sheep model.
Methods
Ten male small‐tailed Han sheep were used in this study. Sheep were imaged by computed tomography scan before and after bone resection and the cutting errors between actual bone preparation and preoperative planning of the femur and tibia in three dimensions...
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