PATENT CLAIM ANALYSIS

Application Number: 15742303
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["717", "121000"]

Abstract:
Methods, systems, and apparatuses for controlling surgical systems. In one aspect, a method includes obtaining, at a control subsystem associated with a surgical system, hardware configuration information from a first patient side subsystem that is communicatively coupled to and controlled by the control subsystem; determining a software version to be used by the control subsystem and the first patient side subsystem, wherein determining the software version includes selecting the software version from among a plurality of software versions, and wherein each software version of the plurality of software versions is associated with a particular patient side subsystem; instructing the first patient side subsystem to use the software version; determining whether the software version is currently loaded on the control subsystem; in response to determining that the software version is not currently loaded on the control subsystem, loading the software version on the control subsystem; and initializing the surgical system.

Claim (Index 15):
The method of any one of the  claims 1 - 5 , wherein the software version is determined based on software version currently loaded on the controller subsystem.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 86.0
- Lexical Diversity: 2.64516
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12795369', '15191444', '12329840', '12903562', '15129050']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3741706013484845
- 35 USC 102 Novelty (BERT): 0.5116753860966988
- Combined Prediction Score: 0.387921079823306
- Mean Citation Score: 145.908094
- Max Citation Score: 168.51373
- Similarity Product: 100.38745006433965

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