PATENT CLAIM ANALYSIS

Application Number: 16288077
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["382", "128000"]

Abstract:
This invention is a system and method for utilizing artificial intelligence to operate a surgical robot (e.g., to perform a laminectomy), including a surgical robot, an artificial intelligence guidance system, an image recognition system, an image recognition database, and a database of past procedures with sensor data, electronic medical records, and imaging data. The image recognition system may identify the tissue type present in the patient and if it is the desired tissue type, the AI guidance system may remove a layer of that tissue with the end effector on the surgical robot, and have the surgeon define the tissue type if the image recognition system identified the tissue as anything other than the desired tissue type.

Claim (Index 16):
A system for at least partially controlling a robotic surgical apparatus, comprising:\n one or more processors; at least one display; and memory storing contents that, when executed by the one or more processors, cause the system to perform actions including:\n obtaining one or more first images of a region of interest associated with a surgery subject; \n identifying one or more types of tissue shown in the one or more first images based, at least in part, on a neural network model; \n displaying the identified one or more types of tissue via a graphical user interface (GUI) on the at least one display; \n receiving one or more interactions with the GUI from a user that indicate one or more surgical configurations; \n causing a robotic surgical apparatus to perform one or more surgical actions with respect to the region of interest based, at least in part, on the one or more surgical configurations, \n obtaining one or more second images of the region of interest after completion of at least one of the surgical actions; and \n in response to a failure to identify one or more types of tissue shown in the one or more second images based, at least in part, on the neural network model:\n presenting at least one of the second images to the user; and \n receiving an input from the user indicating one or more types of tissue shown in the at least one of the second images.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 99.0
- Lexical Diversity: 2.01538
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14266769', '12485503', '14172502', '15706532', '12847269']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3221521151518313
- 35 USC 102 Novelty (BERT): 0.4825862803415516
- Combined Prediction Score: 0.3381955316708033
- Mean Citation Score: 198.586442
- Max Citation Score: 209.5501
- Similarity Product: 157.51020111289026

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