PATENT CLAIM ANALYSIS

Application Number: 16182466
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["606", "246000"]

Abstract:
The disclosure herein relate to systems, methods, and devices for developing patient-specific spinal treatments, operations, and procedures. In some embodiments, systems, methods, and devices described herein for developing patient-specific spinal treatments, operations, and procedures can comprise an iterative virtuous cycle. The iterative virtuous cycle can further comprise pre-operative, intra-operative, and post-operative techniques or processes. For example, the iterative virtuous cycle can comprise imaging analysis, case simulation, implant production, case support, data collection, machine learning, and/or predictive modeling. One or more techniques or processes of the iterative virtuous cycle can be repeated.

Claim (Index 15):
A system for developing one or more spinal implants for a patient, the system comprising:\n one or more computer readable storage devices configured to store a plurality of computer executable instructions; and one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to:\n access one or more medical images of a spine of a patient; \n determine, from the one or more medical images, a height of each of one or more discs on a vertebral segment of interest; \n determine, for each of the one or more discs on the vertebral segment of interest, disc height as a percentage of total disc height of the vertebral segment of interest and/or disc angulation as a percentage of total disc angulation of the vertebral segment of interest; \n analyze the determined disc height percentage and/or determined disc angulation percentage of each of the one or more discs on the vertebral segment of interest by comparing the determined disc height percentage and/or determined disc angulation percentage of each of the one or more discs on the vertebral segment of interest with predetermined disc height percentages and/or predetermined disc angulation percentages of one or more corresponding discs of an asymptomatic population, wherein the predetermined disc height percentages and/or the predetermined disc angulation percentages of one or more corresponding discs of an asymptomatic population are updated periodically and/or continuously; \n simulate, on the one or more medical images, implantation of one or more cages to one or more intervertebral spaces within the vertebral segment of interest based at least in part on the comparison of the determined disc height percentage and/or the determined disc angulation percentage of each of the one or more discs on the vertebral segment of interest with predetermined disc height percentages and/or predetermined disc angulation percentages of the one or more corresponding discs of the asymptomatic population; \n determine, based at least in part on the simulation of implantation of the one or more cages, one or more dimensions of each of one or more patient-specific cages for the vertebral segment of interest, wherein the one or more dimensions of each of the one or more patient-specific cage comprises posterior height, anterior, and/or angulation height thereof; \n generate cage manufacturing or selection data instructions, based at least in part on the determined one or more dimensions of each of the one or more patient-specific cages, for use by a cage manufacturing or selection apparatus for producing or selecting the one or more patient-specific cages for the one or more intervertebral spaces, wherein the one or more patient-specific cages for the one or more intervertebral spaces are produced or selected from a pre-existing range of cages based at least in part on the generated cage manufacturing or selection data instructions; \n determine, from the one or more medical images, for each vertebra within the vertebral segment of interest, a screw insertion axis projected length on a sagittal plane and vertebral body width; \n determine, based at least in part from predetermined spinal anatomical data, literature, or surgeon preferences for each vertebra within the vertebral segment of interest, an assumed or predetermined angulation of an implanted screw in reference to an endplate to which the screw is configured to be attached to, an assumed or predetermined angle between a vertebra axis and a pedicle axis on a transverse plane, an assumed or predetermined ratio between screw length and screw insertion axis length, and an assumed or predetermined ratio between vertebral body width and pedicle width; \n generate one or more desired lengths of one or more screws for insertion in each vertebra within the vertebral segment of interest based at least in part on the determined screw insertion axis projected length on the sagittal plane, the determined vertebral body width, the assumed or predetermined angle between the vertebra axis and the pedicle axis on the transverse plane, and the assumed or predetermined ratio between screw length and screw insertion axis length; \n generate one or more desired diameters of the one or more screws for insertion in each vertebra within the vertebral segment of interest based at least in part on the determined screw insertion axis projected length on the sagittal plane, the determined vertebral body width, and the assumed or predetermined ratio between vertebral body width and pedicle width; and \n generate screw manufacturing or screw selection data instructions, based at least in part on the determined one or more desired lengths and desired diameters, for use by a screw manufacturing or screw selection apparatus for producing or selecting from a pre-existing range of screws the one or more screws.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.0
- Patent Class: 606.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15440991', '15344320', '13989854', '15027904', '15970637']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7807596309808588
- 35 USC 102 Novelty (BERT): 0.4692986839082866
- Combined Prediction Score: 0.7496135362736016
- Mean Citation Score: 228.64778800000005
- Max Citation Score: 237.74556
- Similarity Product: 182.0343031856847

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test