PATENT CLAIM ANALYSIS

Application Number: 16177894
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["348", "077000"]

Abstract:
A system and method of providing composite real-time dynamic imagery of a medical procedure site from multiple modalities which continuously and immediately depicts the current state and condition of the medical procedure site synchronously with respect to each modality and without undue latency is disclosed. The composite real-time dynamic imagery may be provided by spatially registering multiple real-time dynamic video streams from the multiple modalities to each other. Spatially registering the multiple real-time dynamic video streams to each other may provide a continuous and immediate depiction of the medical procedure site with an unobstructed and detailed view of a region of interest at the medical procedure site at multiple depths. A user may thereby view a single, accurate, and current composite real-time dynamic imagery of a region of interest at the medical procedure site as the user performs a medical procedure.

Claim (Index 33):
The method of  claim 30 , wherein the first medical image is based at least in part on a first modality, wherein the second medical image is based at least in part on a second modality that is different from the first modality.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 98.0
- Lexical Diversity: 2.19403
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15598616', '13936951', '12760274', '13333878', '11833134']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.745851355438487
- 35 USC 102 Novelty (BERT): 0.5556282726488796
- Combined Prediction Score: 0.7268290471595262
- Mean Citation Score: 413.0831
- Max Citation Score: 454.21997000000016
- Similarity Product: 341.2384509180296

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

Dataset: test