Automated machine learning design of orthopedic implants and methods for using same
AssigneeSpinal Alignment Solutions, Inc.
InventorsBassel G. Diebo, Alan H. Daniels, Miles C. Wilson
Life of this patent
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AssigneeSpinal Alignment Solutions, Inc.
InventorsBassel G. Diebo, Alan H. Daniels, Miles C. Wilson
Estimating the term…
Machine learning techniques are disclosed for making of spinal fixation rods and other custom orthopedic implants with preferred, long-term surgical outcomes, each implant with a shape predicted by multiple layers of trained convoluted neural networks, mainly for use in a spinal surgery on a subject's spine. The rods provide predictable long-term outcomes for the patients. The rods include a curvature that is matched to the features of matching a unique curvature of the subject's spine; matching a preferred outcome from a large data set of improved patients; and matching a machine learning algorithm for two or more tulip head screw position markings on the rod operative to ensure an execution of a surgical plan following the rod's established contour. The implants can be configured in a kit ready for use by a surgeon in a surgical procedure.
A pre-contoured spinal fixation rod comprising:
Dependencies are inferred from the claim text.