PATENT CLAIM ANALYSIS

Application Number: 16260740
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["703", "009000"]

Abstract:
Systems and methods are disclosed herein for anatomical modeling using information obtained during a medical procedure, whereby an initial anatomical model is generated or obtained, a correspondence is determined between the initial model and additional data and/or measurements from an invasive or noninvasive procedure, and, if a discrepancy is found between the initial model and the additional data, the anatomical model is updated to incorporate the additional data and reduce the discrepancy.

Claim (Index 17):
The system of  claim 16 , wherein the processor is further configured to:\n periodically receive refreshed additional patient-specific data from the interventional procedure; monitor for a new discrepancy between the refreshed patient-specific data and at least one of the three-dimensional anatomical model or the at least one associated characteristic; and if a new discrepancy is found:\n update at least one of the three-dimensional anatomical model or the at least one associated characteristic to reduce the new discrepancy; and \n transmit an updated representation of at least one of the three-dimensional anatomical model or the at least one associated characteristic to the display device.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 99.0
- Lexical Diversity: 1.81395
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15347592', '14267075', '14030801', '14540475', '14177757']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2825763941795273
- 35 USC 102 Novelty (BERT): 0.5267749858695981
- Combined Prediction Score: 0.3069962533485343
- Mean Citation Score: 236.782098
- Max Citation Score: 340.78726
- Similarity Product: 272.4272354643345

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test