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 10):
The system of  claim 8 , wherein the one or more screws are configured to be inserted into one or more vertebra using a surgical tool, wherein the surgical tool comprises one or more sensors, wherein the one or more sensors are configured to provide intraoperative tracking data, wherein the intraoperative tracking data comprises orientation and position data of a portion of the spine of the patient in substantially real-time, wherein the intraoperative tracking data is configured to assist a surgical procedure.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.0
- Patent Class: 606.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15440991', '15344320', '13989854', '15027904', '15970637']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8002119254101362
- 35 USC 102 Novelty (BERT): 0.4730625275527445
- Combined Prediction Score: 0.767496985624397
- Mean Citation Score: 228.64778800000005
- Max Citation Score: 237.74556
- Similarity Product: 178.66187970990657

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